Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T19:21:55.715745Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2501.10240.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T19:21:55.715745Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
46 of 46 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 85b0617c-bfa4-4a76-b53f-3ebeb97d74ed · outbound
Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Modeling longitudinal biomarker data from multiple assays that have different known detection limits
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Comparison of static and dynamic random forests models for EHR data in the presence of competing risks: predicting central line-associated bloodstream infection
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Increasing trust in real-world evidence through evaluation of observational data quality
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Table 0; documenting the steps to go from clinical database to research dataset
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide A comparison of regression models for static and dynamic prediction of a prognostic outcome during admission in electronic health care records
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide A review of challenges and opportunities in machine learning for health
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Five analytic challenges in working with electronic health records data to support clinical trials with some solutions
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Improved reporting of selection processes in clinical database research
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide An extensive data processing pipeline for mimic-iv
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Minimar (minimum information for medical ai reporting): Developing reporting standards for artificial intelligence in health care
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Challenges and recommendations for high quality research using electronic health records
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Clairvoyance: A Pipeline Toolkit for Medical Time Series
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Reproducibility in critical care: a mortality prediction case study
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Mimic-iv, a freely accessible electronic health record dataset
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Dynamic-deephit: A deep learning approach for dynamic survival analysis with competing risks based on longitudinal data
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Clinical implementation of predictive models embedded within electronic health record systems: a systematic review
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Electronic health record data quality assessment and tools: a systematic review
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Changing predictor measurement procedures affected the performance of prediction models in clinical examples
Reference 23
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Lifting hospital electronic health record data treasures: challenges and opportunities
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide The ai life cycle: a holistic approach to creating ethical ai for health decisions
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Measuring diagnoses: Icd code accuracy
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Reference 42
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Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide Attention is all you need
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Reference 46
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No inbound Pith citation observations are available.