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

Natural Language Processing (860) Advanced Data Analytics in eHealth (189) Big Data (303) Electronic Health Records (1258) Information Seeking, Information Needs (540) Methods and Instruments in Medical Informatics (177) Design and Usability of Clinical Software and EHRs (329) Data Science (342) Clinical Informatics (1241) Decision Support for Health Professionals (1449) Tools, Programs and Algorithms (352) Clinical Information and Decision Making (1789)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49007, first published .
Additional Value From Free-Text Diagnoses in Electronic Health Records: Hybrid Dictionary and Machine Learning Classification Study

Additional Value From Free-Text Diagnoses in Electronic Health Records: Hybrid Dictionary and Machine Learning Classification Study

Additional Value From Free-Text Diagnoses in Electronic Health Records: Hybrid Dictionary and Machine Learning Classification Study

Authors of this article:

Tarun Mehra1 Author Orcid Image ;   Tobias Wekhof2 Author Orcid Image ;   Dagmar Iris Keller3, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Williams E, Huynh D, Estai M, Sinha T, Summerscales M, Kanagasingam Y. Predicting Inpatient Admissions From Emergency Department Triage Using Machine Learning: A Systematic Review. Mayo Clinic Proceedings: Digital Health 2025:100197 View
  2. Murphy R, Dongelmans D, de Keizer N, Jongeneel R, Koster C, Jager K, Abu-Hanna A, Calixto I, Klopotowska J. Creation of a gold standard Dutch corpus of clinical notes for adverse drug event detection: the Dutch ADE corpus. Language Resources and Evaluation 2025;59(3):2763 View