Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20862, first published .
Towards The Automated, Empirical Filtering of Drug-Drug Interaction Alerts in Clinical Decision Support Systems: Historical Cohort Study of Vitamin K Antagonists

Towards The Automated, Empirical Filtering of Drug-Drug Interaction Alerts in Clinical Decision Support Systems: Historical Cohort Study of Vitamin K Antagonists

Towards The Automated, Empirical Filtering of Drug-Drug Interaction Alerts in Clinical Decision Support Systems: Historical Cohort Study of Vitamin K Antagonists

Journals

  1. Lamer A, Fruchart M, Paris N, Popoff B, Payen A, Balcaen T, Gacquer W, Bouzillé G, Cuggia M, Doutreligne M, Chazard E. Standardized Description of the Feature Extraction Process to Transform Raw Data Into Meaningful Information for Enhancing Data Reuse: Consensus Study. JMIR Medical Informatics 2022;10(10):e38936 View
  2. Chien S, Chen Y, Chien C, Chin Y, Yoon C, Chen C, Yang H, Li Y. Alerts in Clinical Decision Support Systems (CDSS): A Bibliometric Review and Content Analysis. Healthcare 2022;10(4):601 View
  3. Wasylewicz A, van de Burgt B, Manten T, Kerskes M, Compagner W, Korsten E, Egberts T, Grouls R. Contextualized Drug–Drug Interaction Management Improves Clinical Utility Compared With Basic Drug–Drug Interaction Management in Hospitalized Patients. Clinical Pharmacology & Therapeutics 2022;112(2):382 View