Published on in Vol 11, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40456, first published .
Automatic Detection of Adverse Drug Events in Geriatric Care: Study Proposal

Automatic Detection of Adverse Drug Events in Geriatric Care: Study Proposal

Automatic Detection of Adverse Drug Events in Geriatric Care: Study Proposal

Journals

  1. Modi S, Kasmiran K, Mohd Sharef N, Sharum M. Extracting adverse drug events from clinical Notes: A systematic review of approaches used. Journal of Biomedical Informatics 2024;151:104603 View
  2. Herrera C, Gimenes F, Herrera J, Cavalli R. Development of Automated Triggers in Ambulatory Settings in Brazil: Protocol for a Machine Learning–Based Design Thinking Study. JMIR Research Protocols 2024;13:e55466 View
  3. Gaspar F, Zayene M, Coumau C, Bertrand E, Bettex M, Le Pogam M, Csajka C. Natural Language Processing and ICD-10 Coding for Detecting Bleeding Events in Discharge Summaries: Comparative Cross-Sectional Study. JMIR Medical Informatics 2025;13:e67837 View
  4. Coumau C, Gaspar F, Zayene M, Bertrand E, Alberio L, Lovis C, Beeler P, Rinaldi F, Lutters M, Le Pogam M, Csajka C. Detection of antithrombotic-related bleeding in older inpatients using structured and unstructured electronic medical record data: A multicentre retrospective cross-sectional study in Switzerland (Preprint). Journal of Medical Internet Research 2025 View
  5. S H, Tripathi S, Venuturumilli R, K S, Reddy G, Mukherjee B, Lakhani H. Adverse Drug Reactions and Drug Interactions in Multimorbid Patients: A Review of Current Evidence. Cureus 2025 View

Books/Policy Documents

  1. Liao Z, Joshi V, Joshi S. Arterial Treatment of Neurological Diseases. View

Conference Proceedings

  1. Sreenivasgoud P, Sharma M, Kumar B, Nijhawan G, Al-Jawahry H, Udhayakumar R. 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI). Natural Language Processing in Electronic Health Record Mining for Clinical Decision Support View