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

Digital Health Reviews (1723) Artificial Intelligence (2122) 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

Tuankasfee Hama   1 , MD ;   Mohanad M Alsaleh   1, 2 , MSc ;   Freya Allery   1 , MSc ;   Jung Won Choi   1 , PhD ;   Christopher Tomlinson   1 , MBBS ;   Honghan Wu   1 , Prof Dr ;   Alvina Lai   1 , PhD ;   Nikolas Pontikos   3 , PhD ;   Johan H Thygesen   1 , PhD

1 Institute of Health Informatics, University College London, London, United Kingdom

2 Department of Health Informatics, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia

3 UCL Institute of Ophthalmology, University College London, London, United Kingdom

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