Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data | Paper Citation Record

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This paper cites Patient similarity in prediction mod- els based on health data: A scoping review.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Patient similarity in prediction mod- els based on health data: A scoping review

Reference 1

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This paper cites an unresolved cited work.

Reference 3

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This paper cites Using dynamic time warping to find patterns in time series, in: In Pro- ceedings of the 3rd International Conference on Knowledge Discovery and Data Mining (AAAIWS’94), p.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Using dynamic time warping to find patterns in time series, in: In Pro- ceedings of the 3rd International Conference on Knowledge Discovery and Data Mining (AAAIWS’94), p

Reference 4

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This paper cites Real-time prediction of mortality, readmission, and length of stay us- ing electronic health record data.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Real-time prediction of mortality, readmission, and length of stay us- ing electronic health record data

Reference 5

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This paper cites Similarity Measures and Dimensionality Reduction Techniques for Time Series Data Mining.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Similarity Measures and Dimensionality Reduction Techniques for Time Series Data Mining

Reference 6

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Reference 7

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This paper cites Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding.

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This paper cites Analysis of microarray data using z-score trans- formation.

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This paper cites Risk Prediction with Elec- tronic Health Records: A Deep Learning Approach.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Risk Prediction with Elec- tronic Health Records: A Deep Learning Approach

Reference 10

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This paper cites A comparative analy- sis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data A comparative analy- sis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry

Reference 12

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This paper cites Generating evidence based interpretation of hematology screens via anomaly charac- terization.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Generating evidence based interpretation of hematology screens via anomaly charac- terization

Reference 13

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This paper cites Statistical comparisons of classifiers over multiple data sets.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Statistical comparisons of classifiers over multiple data sets

Reference 14

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This paper cites Exact indexing of dynamic time warping.

Reference 15

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Reference 16

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Observation a4b79a62-92db-498c-aeb2-a551ddfcce9f · outbound

This paper cites Fast subsequence matching in time-series databases.

Reference 17

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This paper cites Intertemporal similarity of economic time series: An application of dynamic time warping.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Intertemporal similarity of economic time series: An application of dynamic time warping

Reference 18

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Observation 2e38ba3b-bd0f-4afb-8aee-ba94070b4d89 · outbound

This paper cites Patient clustering with uncoded text in electronic medical records.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Patient clustering with uncoded text in electronic medical records

Reference 19

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Observation 37b159e6-bdd8-4476-aa5f-d916aff9f7f1 · outbound

This paper cites Survey of clinical data mining applications on big data in health informatics, in: 2013 12th International Conference on Machine Learning and Applica- tions, pp.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Survey of clinical data mining applications on big data in health informatics, in: 2013 12th International Conference on Machine Learning and Applica- tions, pp

Reference 20

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This paper cites Using participant similarity for the classification of epidemiological data on hepatic steatosis, IEEE.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Using participant similarity for the classification of epidemiological data on hepatic steatosis, IEEE

Reference 21

Resolution: verified exact; doi, observed 2026-08-07T05:47:12.586009Z

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This paper cites Spectral clustering strategies for heterogeneous disease expression data.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Spectral clustering strategies for heterogeneous disease expression data

Reference 22

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This paper cites Dtw-nn: A novel neural network for time se- ries recognition using dynamic alignment between inputs and weights.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Dtw-nn: A novel neural network for time se- ries recognition using dynamic alignment between inputs and weights

Reference 23

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This paper cites A patient-similarity-based model for diagnostic prediction.

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Observation 5ed6dc06-ae7c-43d6-9c21-fc56c250f22d · outbound

This paper cites A novel customer churn prediction model for the telecommunication industry us- ing data transformation methods and feature selection.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data A novel customer churn prediction model for the telecommunication industry us- ing data transformation methods and feature selection

Reference 25

Resolution: verified exact; doi, observed 2026-08-07T05:47:12.409842Z

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Observation fba15ce6-1e1b-447a-a6b6-856e598aab50 · outbound

This paper cites Integrated optimisation method for personalised modelling and case studies for medical decision support.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Integrated optimisation method for personalised modelling and case studies for medical decision support

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:19.839863Z

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This paper cites Exact indexing of dynamic time warping, in: Proceedings of the 28th International Conference on Very Large Data Bases, VLDB Endowment.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Exact indexing of dynamic time warping, in: Proceedings of the 28th International Conference on Very Large Data Bases, VLDB Endowment

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:19.713406Z

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Observation ac4176f2-873f-49da-a473-cb296bf433a8 · outbound

This paper cites A fast and accurate similarity measure for long time series classification based on local extrema and dynamic time warping.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data A fast and accurate similarity measure for long time series classification based on local extrema and dynamic time warping

Reference 29

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:47:15.455738Z

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This paper cites Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis.

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This paper cites A ¡i¿k¡/i¿ -nearest neighbors survival probability prediction method.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data A ¡i¿k¡/i¿ -nearest neighbors survival probability prediction method

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:19.590089Z

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Observation 153b8f0a-a9b8-4916-9f21-2cea07aa62c9 · outbound

This paper cites Integrate multi-omic data using affinity network fusion (anf) for cancer patient clustering, in: 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Integrate multi-omic data using affinity network fusion (anf) for cancer patient clustering, in: 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp

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Observation c3feb9e3-995c-406a-95ae-f16958f07317 · outbound

This paper cites An integrated data mining approach to real-time clinical monitoring and deterioration warning, pp.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data An integrated data mining approach to real-time clinical monitoring and deterioration warning, pp

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Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:47:14.751338Z

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Observation a61d84f0-10b1-4840-acb5-360afe0557d8 · outbound

This paper cites Effective patient similarity computa- tion for clinical decision support using time series and static data, pp.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Effective patient similarity computa- tion for clinical decision support using time series and static data, pp

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Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:47:14.546874Z

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Observation 04e90670-9815-4070-95a3-c34adb0228a3 · outbound

This paper cites Personalized predictive modeling and risk factor identification using patient similarity.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Personalized predictive modeling and risk factor identification using patient similarity

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:19.432172Z

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Observation 18e54ea0-08b8-4f9c-b9c8-09c5297651db · outbound

This paper cites Patient similarity networks for preci- sion medicine.

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Observation b862384a-ab4f-49e0-b455-f6733e0d27f9 · outbound

This paper cites Patient similarity for precision medicine: A systematic review.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Patient similarity for precision medicine: A systematic review

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Observation a8a1d7b7-8dfe-4961-97dd-69551f0a3aab · outbound

This paper cites New knowledge extraction technique using prob- ability for case-based reasoning: application to medical diagnosis.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data New knowledge extraction technique using prob- ability for case-based reasoning: application to medical diagnosis

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:19.297647Z

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Observation 31542074-dbf2-4848-ad3d-6f72e3c9617a · outbound

This paper cites Physionet-MIMICIII.

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Observation 85819bf6-820a-419c-811e-092e903b4e9a · outbound

This paper cites netdx: interpretable patient classification using integrated patient similarity networks.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data netdx: interpretable patient classification using integrated patient similarity networks

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Resolution: verified exact; doi, observed 2026-08-07T05:47:11.747665Z

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Observation 1723f7e2-a716-4fe2-a2b5-869a779b71f0 · outbound

This paper cites Benchmarking deep learn- ing models on large healthcare datasets.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Benchmarking deep learn- ing models on large healthcare datasets

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Observation a86a2d8d-a08d-4aad-9320-58880048b3e0 · outbound

This paper cites Privacy-Preserving Customer Churn Prediction Model in the Context of Telecommunication Industry.

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Resolution: verified exact; local_arxiv, observed 2026-08-07T05:47:14.172106Z

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Observation af7c1475-a5f7-4847-8597-5801dbd54496 · outbound

This paper cites Modeling online customer purchase intention behavior applying dif- ferent feature engineering and classification techniques.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Modeling online customer purchase intention behavior applying dif- ferent feature engineering and classification techniques

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Resolution: verified exact; doi, observed 2026-08-07T05:47:11.588516Z

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Observation e19bdb6e-87b9-407e-9fa5-701c2ee73bcd · outbound

This paper cites Toward accurate dynamic time warping in linear time and space.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Toward accurate dynamic time warping in linear time and space

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:18.824973Z

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Observation 44ee4e2f-9e1d-417a-81b6-7ddbe1675088 · outbound

This paper cites Spark.https://spark.apache.org/.

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:18.676003Z

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Observation 70879901-9191-4248-8bb7-8ce38a6f63b7 · outbound

This paper cites Spark.https://www.infoworld.com/article/3236869/what-is-apache-spark-the-big-data-platform-that-crushed-hadoop.html.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Spark.https://www.infoworld.com/article/3236869/what-is-apache-spark-the-big-data-platform-that-crushed-hadoop.html

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Resolution: verified exact; raw_fallback, observed 2026-08-07T05:47:14.050039Z

Source-reported events for the cited work

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Observation 3147cd8e-f045-447b-a80f-4ffb5ae08df3 · outbound

This paper cites Clustering patients ac- cording to health perceptions: Relationships to psychosocial characteristics and medication nonadherence.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Clustering patients ac- cording to health perceptions: Relationships to psychosocial characteristics and medication nonadherence

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Resolution: verified exact; doi, observed 2026-08-07T05:47:11.448370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 84268f7d-920c-45e6-ae03-934c2343d6be · outbound

This paper cites Deep patient similarity learning for personalized healthcare.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Deep patient similarity learning for personalized healthcare

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This paper cites Attention is all you need, in: Proceedings of the 31st International Conference on Neural Information Processing Systems, Curran Associates Inc., Red Hook, NY, USA.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Attention is all you need, in: Proceedings of the 31st International Conference on Neural Information Processing Systems, Curran Associates Inc., Red Hook, NY, USA

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:18.529393Z

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Observation 044c2c75-b2fe-47e0-a560-1ac518653a6c · outbound

This paper cites A system for mining temporal physiological data streams for advanced prognostic decision support, IEEE.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data A system for mining temporal physiological data streams for advanced prognostic decision support, IEEE

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Resolution: verified exact; doi, observed 2026-08-07T05:47:11.294751Z

Source-reported events for the cited work

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Observation 04bac3a4-f5a9-40aa-87f7-b988b92998b2 · outbound

This paper cites an unresolved cited work.

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:18.345957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6421f864-7cd2-4eb1-bb05-9ce0c4c4bcb9 · outbound

This paper cites an unresolved cited work.

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:18.195484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c760423d-7ac8-4167-98e8-9d9a9ba537d9 · outbound

This paper cites Comparing and combining time series trajectories using dynamic time warping.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Comparing and combining time series trajectories using dynamic time warping

Reference 54

Resolution: verified exact; doi, observed 2026-08-07T05:47:11.124937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b461631b-abf8-4262-81be-86a6621f4e31 · outbound

This paper cites Integrating distance metrics learned from mul- tiple experts and its application in inter-patient similarity assessment, in: SDM.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Integrating distance metrics learned from mul- tiple experts and its application in inter-patient similarity assessment, in: SDM

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:17.865689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6a7a8c74-2f2e-4dd3-982d-7d41adac3278 · outbound

This paper cites End-to-End Entity Classification on Multimodal Knowledge Graphs.

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:10.627461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5df1872-2f40-4fe1-a1e1-5f5933acdfa9 · outbound

This paper cites Hierarchical Agglomerative Clustering.

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:17.671567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fd13f8ad-a0a5-409f-ace9-57cc7aa2b775 · outbound

This paper cites Medical prognosis based on patient similarity and expert feedback, in: Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), pp.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Medical prognosis based on patient similarity and expert feedback, in: Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), pp

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:18.011056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 11d26a81-a483-4890-86d3-b1528c830176 · outbound

This paper cites Measuring patient similarities via a deep architecture with medical concept embedding, in: 2016 IEEE 16th International Conference on Data Mining (ICDM), pp.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data Measuring patient similarities via a deep architecture with medical concept embedding, in: 2016 IEEE 16th International Conference on Data Mining (ICDM), pp

Reference 60

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:47:13.787428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d0f673bd-b19d-4c5f-87d7-e861771e4cce · outbound

This paper cites A novel patient similarity prediction model based on semisupervised learning, in: CAIBDA 2022: 2nd International Conference on Artificial Intelligence, Big Data and Algorithms, pp.

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data A novel patient similarity prediction model based on semisupervised learning, in: CAIBDA 2022: 2nd International Conference on Artificial Intelligence, Big Data and Algorithms, pp

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:17.507959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation de5024fd-4040-45a8-8cf0-ae1d214e7060 · outbound

This paper cites an unresolved cited work.

Reference 134

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:09.267888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa413780-2e7a-423a-862b-dc59a63ac06a · outbound

This paper cites Nature methods 11.

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:10.280743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3485834-2fb5-47e8-8740-86c141f7a07c · outbound

This paper cites an unresolved cited work.

Reference 2069

Resolution: verified exact; doi, observed 2026-08-07T05:47:12.248898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers