PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks | Paper Citation Record

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This paper cites What prevents us from reusing medical real-world data in research.Sci.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks What prevents us from reusing medical real-world data in research.Sci

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This paper cites A new model for learning in graph domains.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks A new model for learning in graph domains

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This paper cites Graph neural networks in alzheimer’s disease diagnosis: a review of unimodalandmultimodaladvances.Front.inNeurosci.,19:1623141, 2025.doi:10.3389/fnins.2025.1623141.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Graph neural networks in alzheimer’s disease diagnosis: a review of unimodalandmultimodaladvances.Front.inNeurosci.,19:1623141, 2025.doi:10.3389/fnins.2025.1623141

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This paper cites Fhir-ontop-omop: Building clinical knowledge graphs in fhir rdf with the omop common data model.J.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Fhir-ontop-omop: Building clinical knowledge graphs in fhir rdf with the omop common data model.J

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This paper cites Medax:Aknowledgegraphonfhir.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Medax:Aknowledgegraphonfhir

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This paper cites InDigitalHealthandInformaticsInnovationsforSustainableHealth Care Systems, pages 1406–1410.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks InDigitalHealthandInformaticsInnovationsforSustainableHealth Care Systems, pages 1406–1410

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This paper cites Evolution of a graph model for the omop common data model.Appl.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Evolution of a graph model for the omop common data model.Appl

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This paper cites Connecting elec- tronichealthrecordstoabiomedicalknowledgegraphtolinkclinical phenotypes and molecular endotypes in atopic dermatitis.Sci.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Connecting elec- tronichealthrecordstoabiomedicalknowledgegraphtolinkclinical phenotypes and molecular endotypes in atopic dermatitis.Sci

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This paper cites Using knowledge graph struc- tures for semantic interoperability in electronic health records data exchanges.Inf., 13(2):52, 2022.doi:10.3390/info13020052.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Using knowledge graph struc- tures for semantic interoperability in electronic health records data exchanges.Inf., 13(2):52, 2022.doi:10.3390/info13020052

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This paper cites The challenges in data integration–heterogeneity and complexity in clinical trials and patient registries of systemic lupus erythematosus.BMC Med.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks The challenges in data integration–heterogeneity and complexity in clinical trials and patient registries of systemic lupus erythematosus.BMC Med

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Resolution: verified exact; doi, observed 2026-08-07T00:14:55.405608Z

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This paper cites an unresolved cited work.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Unresolved cited work

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This paper cites Validation of a common data model for active safety surveillance research.J.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Validation of a common data model for active safety surveillance research.J

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This paper cites Observationalhealth datasciencesandinformatics(ohdsi):opportunitiesforobservational researchers.Stud.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Observationalhealth datasciencesandinformatics(ohdsi):opportunitiesforobservational researchers.Stud

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This paper cites Web services fordatawarehouses:Omopandpcornetoni2b2.J.Am.Med.Inform.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Web services fordatawarehouses:Omopandpcornetoni2b2.J.Am.Med.Inform

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This paper cites an unresolved cited work.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Unresolved cited work

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Observation 6ec90d80-9629-4796-9bd1-9846b40b1d18 · outbound

This paper cites Common data models and data standards for tabular health data: a systematic review.BMC Med.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Common data models and data standards for tabular health data: a systematic review.BMC Med

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Observation fe246271-eef8-482d-a140-4225e5dd9fe4 · outbound

This paper cites A scoping review on multimodal deep learning in biomedical images and texts.J.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks A scoping review on multimodal deep learning in biomedical images and texts.J

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Observation 470f80d4-28c9-4fdd-85a9-4a96415664e4 · outbound

This paper cites Gram: graph-based attention model for healthcare representation learning.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Gram: graph-based attention model for healthcare representation learning

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This paper cites Learningthegraphicalstructure of electronic health records with graph convolutional transformer.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Learningthegraphicalstructure of electronic health records with graph convolutional transformer

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This paper cites Comorbidity-based framework for alzheimer’s disease classification using graph neural networks.Sci.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Comorbidity-based framework for alzheimer’s disease classification using graph neural networks.Sci

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This paper cites A scoping review of self-supervised representation learning for clini- cal decision making using ehr categorical data.NPJ Digit.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks A scoping review of self-supervised representation learning for clini- cal decision making using ehr categorical data.NPJ Digit

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correction dated 2025-08-18. Source: crossref record 10.1038/s41746-025-01919-1->10.1038/s41746-025-01692-1:correction, observed 2026-07-11T03:06:24.216331+00:00. This notice travels one citation hop only.

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This paper cites Medicalbigdata:promiseand challenges.Kidney Res.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Medicalbigdata:promiseand challenges.Kidney Res

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This paper cites An overview of deep learning methods for multimodal medical data mining.Expert Syst.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks An overview of deep learning methods for multimodal medical data mining.Expert Syst

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This paper cites Multimodal machine learning in precision health: A scoping review.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Multimodal machine learning in precision health: A scoping review

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This paper cites A cross-disciplinary comparison of multimodal data fusion approaches and applications: Acceleratinglearningthroughtrans-disciplinaryinformationsharing.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks A cross-disciplinary comparison of multimodal data fusion approaches and applications: Acceleratinglearningthroughtrans-disciplinaryinformationsharing

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This paper cites Harnessing multimodal data integration to advance precision oncology.Nat.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Harnessing multimodal data integration to advance precision oncology.Nat

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This paper cites Image feature extraction tech- niques:Acomprehensivereview.FranklinOpen,page100366,2025.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Image feature extraction tech- niques:Acomprehensivereview.FranklinOpen,page100366,2025

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PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks A comparative study of statistical, radiomics, and deep learning feature extraction techniques for medical image classification in optical and radiological modalities.Comput

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This paper cites The deep learning revolution in neuroimaging: Insights from a bibliometric analysis (2014–2024).Neuroinformatics, 24(2):16, 2026.doi:10.1007/ s12021-026-09775-4.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks The deep learning revolution in neuroimaging: Insights from a bibliometric analysis (2014–2024).Neuroinformatics, 24(2):16, 2026.doi:10.1007/ s12021-026-09775-4

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This paper cites Radiomicsandartificialintelligenceforthediagnosisandmonitoring of alzheimer’s disease: a systematic review of studies in the field.J.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Radiomicsandartificialintelligenceforthediagnosisandmonitoring of alzheimer’s disease: a systematic review of studies in the field.J

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This paper cites Introduction to radiomics.J.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Introduction to radiomics.J

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This paper cites A comparative study of one-hot, tf-idf, and word2vec for classifying illegal advertising texts.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks A comparative study of one-hot, tf-idf, and word2vec for classifying illegal advertising texts

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This paper cites Efficient Estimation of Word Representations in Vector Space.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Efficient Estimation of Word Representations in Vector Space

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PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Attention Is All You Need

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This paper cites Transformer models in natural language processing: A comprehensive review and prospects for future development.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Transformer models in natural language processing: A comprehensive review and prospects for future development

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PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Unresolved cited work

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PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks The scalable precision J

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PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Building a knowledge graph to enable precision medicine.Sci

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This paper cites Capturingsemanticrelationshipsinelectronichealthrecords using knowledge graphs: An implementation using mimic iii dataset and graphdb.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Capturingsemanticrelationshipsinelectronichealthrecords using knowledge graphs: An implementation using mimic iii dataset and graphdb

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PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Demo- graphic aware probabilistic medical knowledge graph embeddings of electronic medical records

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PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Towards a Personal Health Knowledge Graph Framework for Patient Monitoring

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Observation 0f0c64ef-fea6-4ec8-8aed-10b0ba9424d3 · outbound

This paper cites Personal Health Knowledge Graph for Clinically Relevant Diet Recommendations.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Personal Health Knowledge Graph for Clinically Relevant Diet Recommendations

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This paper cites Real-world data medical knowledge graph: construction and applications.Artif.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Real-world data medical knowledge graph: construction and applications.Artif

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This paper cites Medaka: Construction of biomedical knowledge graphs using large language models.arXiv preprint arXiv:2509.26128, 2025.doi:10.48550/arXiv.2509.26128.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Medaka: Construction of biomedical knowledge graphs using large language models.arXiv preprint arXiv:2509.26128, 2025.doi:10.48550/arXiv.2509.26128

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PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Unresolved cited work

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This paper cites Early multimodal data integration for data-driven medical research–a scoping review.Ger.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Early multimodal data integration for data-driven medical research–a scoping review.Ger

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PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks word2vec, node2vec, graph2vec, x2vec: Towards a theory of vector embeddings of structured data

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Observation 7a5dc6ac-2292-4cb3-b535-a14002fe6181 · outbound

This paper cites Graph neural networks: Graph classification.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Graph neural networks: Graph classification

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Observation 5b23058e-0c9c-4630-b694-5127b8dcac86 · outbound

This paper cites Graph attention networks.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Graph attention networks

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Observation 0c5677aa-d3b5-4442-80cb-170a96bf0a86 · outbound

This paper cites How Attentive are Graph Attention Networks?.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks How Attentive are Graph Attention Networks?

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Observation 5503297c-c024-4d78-ae10-45906eb76355 · outbound

This paper cites Deep learning for alzheimer’s disease: advances in classification, segmentation, subtyping, and explainability.Biomed.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Deep learning for alzheimer’s disease: advances in classification, segmentation, subtyping, and explainability.Biomed

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Resolution: verified exact; doi, observed 2026-08-07T00:14:53.270932Z

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Observation 258c18ba-6633-4d07-b92b-dbde5d43df1d · outbound

This paper cites Convolutional neural networks for alzheimer’s disease detection on mri images.J.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Convolutional neural networks for alzheimer’s disease detection on mri images.J

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Resolution: verified exact; doi, observed 2026-08-07T00:14:53.053495Z

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Observation 97ff2bcd-7d37-4c52-80dc-7329a251a6e4 · outbound

This paper cites Con- volutional neural networks for classification of alzheimer’s disease: Overviewandreproducibleevaluation.Med.ImageAnal.,63:101694, 2020.doi:10.1016/j.media.2020.101694.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Con- volutional neural networks for classification of alzheimer’s disease: Overviewandreproducibleevaluation.Med.ImageAnal.,63:101694, 2020.doi:10.1016/j.media.2020.101694

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:48.785898Z

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Observation 9a7559ac-10ac-4e67-bd35-6520ca5c6411 · outbound

This paper cites A deep learning model for early di- agnosis of alzheimer’s disease combined with 3d cnn and video swin transformer.Sci.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks A deep learning model for early di- agnosis of alzheimer’s disease combined with 3d cnn and video swin transformer.Sci

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Resolution: malformed identifier; raw_fallback, observed 2026-08-07T00:14:59.279189Z

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Observation 08dd88ed-b720-43c9-a61a-9dd536867300 · outbound

This paper cites Alzformer: Multi-modal framework for alzheimer’sclassificationusingmriandgraph-embeddeddemograph- ics guided by adaptive attention gating.Comput.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Alzformer: Multi-modal framework for alzheimer’sclassificationusingmriandgraph-embeddeddemograph- ics guided by adaptive attention gating.Comput

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:48.975597Z

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Observation 9dbf926a-93c0-42b7-a63f-cbb345c4289d · outbound

This paper cites AnovelmultimodalMRIanalysisforalzheimer’s disease based on convolutional neural network.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks AnovelmultimodalMRIanalysisforalzheimer’s disease based on convolutional neural network

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Resolution: malformed identifier; no resolver link, observed 2026-08-07T00:14:49.071302Z

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Observation 30a6847b-9b7f-4e71-ae9e-2535663a8ce4 · outbound

This paper cites an unresolved cited work.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Unresolved cited work

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Observation d32b438f-5f81-481b-ac7e-2d69229a985f · outbound

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PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Inclusionofneuropsycho- logicalscoresinatrophymodelsimprovesdiagnosticclassificationof alzheimer’s disease and mild cognitive impairment.Comput

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Resolution: verified exact; doi, observed 2026-08-07T00:14:52.853102Z

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Observation 056e8cf9-5b82-4bd1-bc8a-ef40b27d4eb9 · outbound

This paper cites an unresolved cited work.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Unresolved cited work

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Resolution: verified exact; doi, observed 2026-08-07T00:14:52.667688Z

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Observation b6aad625-1f7d-4544-b815-ef18d6ac4cee · outbound

This paper cites Early diagnosis of alzheimer’s disease using machine learning: a multi-diagnostic, gen- eralizable approach.Alzheimer’s Res.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Early diagnosis of alzheimer’s disease using machine learning: a multi-diagnostic, gen- eralizable approach.Alzheimer’s Res

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Resolution: verified exact; doi, observed 2026-08-07T00:14:52.493891Z

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Observation 375f42ea-e726-48d7-ab11-c012076d27af · outbound

This paper cites Machine learning techniques for the diagnosis of alzheimer’s disease: A review.ACM Trans.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Machine learning techniques for the diagnosis of alzheimer’s disease: A review.ACM Trans

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Resolution: verified exact; doi, observed 2026-08-07T00:14:52.339896Z

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Observation 7eb0e1db-1258-4d4d-af67-115a23e4cf01 · outbound

This paper cites Machine learning of neuroimaging for assisted diagnosis of cognitiveimpairmentanddementia:asystematicreview.Alzheimer’s Dement.: Diagn.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Machine learning of neuroimaging for assisted diagnosis of cognitiveimpairmentanddementia:asystematicreview.Alzheimer’s Dement.: Diagn

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Resolution: verified exact; doi, observed 2026-08-07T00:14:52.132743Z

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Observation aa56ced8-5c88-48b0-96ee-e32150b550b3 · outbound

This paper cites Springer, 2002.doi:10.1007/978-3-030-81885-2.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Springer, 2002.doi:10.1007/978-3-030-81885-2

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Resolution: verified exact; doi, observed 2026-08-07T00:14:51.898277Z

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Observation b2b1ef75-420d-4362-8cc5-74bb200915f4 · outbound

This paper cites 2005.06.003.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks 2005.06.003

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Resolution: malformed identifier; doi_truncated, observed 2026-08-07T00:14:51.628241Z

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Observation 2cb59ef1-f828-498b-b835-529c2830b1f3 · outbound

This paper cites Fastsurfer-a fast and accurate deep learning based neuroimaging pipeline.NeuroImage, 219:117012, 2020.doi:10.1016/j.neuroimage.2020.117012.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Fastsurfer-a fast and accurate deep learning based neuroimaging pipeline.NeuroImage, 219:117012, 2020.doi:10.1016/j.neuroimage.2020.117012

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:49.983009Z

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Observation a99a6cca-15ae-4c53-b461-d719186fe985 · outbound

This paper cites Comparison of automated volume extraction with freesurfer and fastsurfer for early alzheimer’s disease detection with machine learning.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Comparison of automated volume extraction with freesurfer and fastsurfer for early alzheimer’s disease detection with machine learning

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Resolution: verified exact; raw_fallback, observed 2026-08-07T00:14:56.560166Z

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Observation dee0e044-ee54-4bc7-b5fe-41e2add0b049 · outbound

This paper cites an unresolved cited work.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Unresolved cited work

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Resolution: malformed identifier; raw_fallback, observed 2026-08-07T00:14:59.066252Z

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Observation fcfdf4a3-23f3-436b-9e34-291ae3ce007c · outbound

This paper cites Pip-net: Patch-based intuitive prototypes for interpretable image classification.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Pip-net: Patch-based intuitive prototypes for interpretable image classification

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Observation b19fe725-e379-4e15-b2e7-73e79c47d352 · outbound

This paper cites Domain-specific language model pretraining for biomedical natural languageprocessing.ACMTrans.Comput.Healthc.,3(1):1–23,2021.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Domain-specific language model pretraining for biomedical natural languageprocessing.ACMTrans.Comput.Healthc.,3(1):1–23,2021

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Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:50.398508Z

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Observation 4ebca964-f198-4ded-88a7-1284c29b2560 · outbound

This paper cites BioLORD- 2023: semantic textual representations fusing large language models and clinical knowledge graph insights.J.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks BioLORD- 2023: semantic textual representations fusing large language models and clinical knowledge graph insights.J

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Observation fa659cf3-5b84-437f-8566-20df9ac664bd · outbound

This paper cites Multilingual E5 Text Embeddings: A Technical Report.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Multilingual E5 Text Embeddings: A Technical Report

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Observation 3b29b0cd-5412-4982-b8e2-a24e2f12c910 · outbound

This paper cites A systematic analysis of per- formance measures for classification tasks.Inf.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks A systematic analysis of per- formance measures for classification tasks.Inf

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Observation 665828c1-f7b9-43ea-bcea-0b060770df20 · outbound

This paper cites Revisiting Deep Learning Models for Tabular Data.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Revisiting Deep Learning Models for Tabular Data

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Observation 3e1a0beb-b760-4d96-a82d-32e38ce58a9e · outbound

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PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Unresolved cited work

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Resolution: verified exact; doi, observed 2026-08-07T00:14:51.406071Z

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Observation 0b1b736f-d5ca-4f2a-8cdb-6a271f1c70e8 · outbound

This paper cites A gen- eralizable 3d framework and model for self-supervised learning in medical imaging.NPJ Digit.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks A gen- eralizable 3d framework and model for self-supervised learning in medical imaging.NPJ Digit

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Resolution: malformed identifier; raw_fallback, observed 2026-08-07T00:14:58.885846Z

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Observation 6a8862bc-b80a-477f-b8f7-02b928a5cdbd · outbound

This paper cites an unresolved cited work.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Unresolved cited work

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Resolution: verified exact; doi, observed 2026-08-07T00:14:51.224642Z

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