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

Theme Issue 2020:National NLP Clinical Challenges/Open Health Natural Language Processing 2019 Challenge Selected Papers (17) Electronic Health Records (971) Clinical Information and Decision Making (1340) Natural Language Processing (650)

Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24020, first published .
Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis

Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis

Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis

Authors of this article:

Maciej Rybinski1 Author Orcid Image ;   Xiang Dai1, 2 Author Orcid Image ;   Sonit Singh1, 3 Author Orcid Image ;   Sarvnaz Karimi1 Author Orcid Image ;   Anthony Nguyen4 Author Orcid Image
Article Authors Cited by (7) Tweetations (9) Metrics

Journals

  1. Scott E, Hirabayashi L, Levenstein A, Krupa N, Jenkins P. The development of a machine learning algorithm to identify occupational injuries in agriculture using pre-hospital care reports. Health Information Science and Systems 2021;9(1) View
  2. Butler J, Gibson B, Patterson O, Damschroder L, Halls C, Denhalter D, Samore M, Li H, Zhang Y, DuVall S. Clinician documentation of patient centered care in the electronic health record. BMC Medical Informatics and Decision Making 2022;22(1) View
  3. Afshar M, Adelaine S, Resnik F, Mundt M, Long J, Leaf M, Ampian T, Wills G, Schnapp B, Chao M, Brown R, Joyce C, Sharma B, Dligach D, Burnside E, Mahoney J, Churpek M, Patterson B, Liao F. Deployment of Real-time Natural Language Processing and Deep Learning Clinical Decision Support in the Electronic Health Record: Pipeline Implementation for an Opioid Misuse Screener in Hospitalized Adults. JMIR Medical Informatics 2023;11:e44977 View
  4. Ma S, Jiang S, Yang O, Zhang X, Fu Y, Zhang Y, Kaareen A, Ling M, Chen J, Shang C. Use of Machine Learning Tools in Evidence Synthesis of Tobacco Use Among Sexual and Gender Diverse Populations: Algorithm Development and Validation. JMIR Formative Research 2024;8:e49031 View

Books/Policy Documents

  1. Peikos G, Alexander D, Pasi G, de Vries A. Advances in Information Retrieval. View