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

Electronic Health Records (1369) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (714) Clinical Informatics (1421) Chronic Conditions (474) Secondary Use of Clinical Data for Research and Surveillance (490) Clinical Information and Decision Making (2048)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62978, first published .
Large-Scale Evaluation and Liver Disease Risk Prediction in Finland’s National Electronic Health Record System: Feasibility Study Using Real-World Data

Large-Scale Evaluation and Liver Disease Risk Prediction in Finland’s National Electronic Health Record System: Feasibility Study Using Real-World Data

Large-Scale Evaluation and Liver Disease Risk Prediction in Finland’s National Electronic Health Record System: Feasibility Study Using Real-World Data

Authors of this article:

Viljami Männikkö1, 2 Author Orcid Image ;   Janne Tommola1 Author Orcid Image ;   Emmi Tikkanen3 Author Orcid Image ;   Olli-Pekka Hätinen3 Author Orcid Image ;   Fredrik Åberg4 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Conference Proceedings

  1. Saranya G, Mounica P, Ramadevi M, Abhinayasri V, Madhavi K, Vavilala D, Reddy D. 2025 1st IEEE Uttar Pradesh Section Women in Engineering International Conference on Electrical Electronics and Computer Engineering (UPWIECON). ExplaiLiver+: A Multi-Stage Stacking Framework with SHAP-Based Interpretability for Clinical Liver Disease Prediction View