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 (1295) Clinical Information and Decision Making (1871) Natural Language Processing (893)

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 (10) Tweetations (8) 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
  5. Oyovwi M, Ohwin E, Rotu R, Olowe T. Internet-Based Abnormal Chromosomal Diagnosis During Pregnancy Using a Noninvasive Innovative Approach to Detecting Chromosomal Abnormalities in the Fetus: Scoping Review. JMIR Bioinformatics and Biotechnology 2024;5:e58439 View
  6. Huang X, Arora J, Erzurumluoglu A, Stanhope S, Lam D, Khoueiry P, Jensen J, Cai J, Lawless N, Kriegl J, Ding Z, de Jong J, Zhao H, Wang Z. Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction. Journal of the American Medical Informatics Association 2025;32(3):435 View
  7. Mayer J, Delgoffe B, Hebbring S. Identifying family structures from obituaries and matching them to patients in an electronic heath record. Journal of the American Medical Informatics Association 2025;32(9):1407 View

Books/Policy Documents

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

Conference Proceedings

  1. Yadav K, Sharma M, Michaelson J, Laxminarayanamma K, Yadav V, Krishna O. 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI). BERT-Driven Natural Language Processing in Electronic Health Records for Improved Clinical Insights View
  2. Katyan D, Gulati G, Upreti G. 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC). Utilising NLP for Enhanced Clinical Text Mining View