This paper is in the following e-collection/theme issue:

Digital Health Reviews (1723) Artificial Intelligence (2126) Clinical Information and Decision Making (1914) Decision Support for Health Professionals (1538) Clinical Informatics (1325) Electronic Health Records (1319)

Published on in Vol 27 (2025)

This is a member publication of University College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57358, first published .
Enhancing Patient Outcome Prediction Through Deep Learning With Sequential Diagnosis Codes From Structured Electronic Health Record Data: Systematic Review

Enhancing Patient Outcome Prediction Through Deep Learning With Sequential Diagnosis Codes From Structured Electronic Health Record Data: Systematic Review

Enhancing Patient Outcome Prediction Through Deep Learning With Sequential Diagnosis Codes From Structured Electronic Health Record Data: Systematic Review

Authors of this article:

Tuankasfee Hama1 Author Orcid Image ;   Mohanad M Alsaleh1, 2 Author Orcid Image ;   Freya Allery1 Author Orcid Image ;   Jung Won Choi1 Author Orcid Image ;   Christopher Tomlinson1 Author Orcid Image ;   Honghan Wu1 Author Orcid Image ;   Alvina Lai1 Author Orcid Image ;   Nikolas Pontikos3 Author Orcid Image ;   Johan H Thygesen1 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

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  3. Dou Y, Liu Y, Zou H, Zeng W, Xu K, Peng S. A survey on electronic health record driven multimodal representation learning. Information Fusion 2026;127:103810 View
  4. Abdussamad , Daud H, Sokkalingam R, Zubair M, Khan I, Mahmood Z. A deep learning framework with hybrid stacked sparse autoencoder for type 2 diabetes prediction. Scientific Reports 2025;15(1) View
  5. Czerwinski A, Kucharski D, Wijata A, Aldosari H, Coenen F, Gupta D, Fu L, Lin W, Xue Y, Kawa J, Zheng Y, Lip G, Nalepa J. Interpretable arrhythmia detection in ECG scans using deep learning ensembles: a genetic programming approach. npj Digital Medicine 2025;8(1) View
  6. Pollington F, Denaxas S, Li K, Thygesen J, Lyratzopoulos G, White B. Evaluation of trajectory analysis for disease risk assessment: a scoping review. Journal of the American Medical Informatics Association 2025 View