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

Viewpoints on and Experiences with Digital Technologies in Health (89) Viewpoints and Perspectives (575) Machine Learning (1770) Electronic Health Records (1198) Decision Support for Health Professionals (1361) Secondary Use of Clinical Data for Research and Surveillance (419) Methods and New Tools in Mental Health Research (503)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32245, first published .
Information Extraction Framework for Disability Determination Using a Mental Functioning Use-Case

Information Extraction Framework for Disability Determination Using a Mental Functioning Use-Case

Information Extraction Framework for Disability Determination Using a Mental Functioning Use-Case

Authors of this article:

Ayah Zirikly1, 2, 3 Author Orcid Image ;   Bart Desmet1 Author Orcid Image ;   Denis Newman-Griffis1, 4 Author Orcid Image ;   Elizabeth E Marfeo1, 5 Author Orcid Image ;   Christine McDonough1, 6 Author Orcid Image ;   Howard Goldman1, 7 Author Orcid Image ;   Leighton Chan1 Author Orcid Image
Article Authors Cited by (10) Tweetations (8) Metrics

Journals

  1. Goldman H, Porcino J, Divita G, Zirikly A, Desmet B, Sacco M, Marfeo E, McDonough C, Rasch E, Chan L. Informatics Research on Mental Health Functioning: Decision Support for the Social Security Administration Disability Program. Psychiatric Services 2023;74(1):56 View
  2. Mohseni A, Ghotbi E, Kazemi F, Shababi A, Jahan S, Mohseni A, Shababi N. Artificial Intelligence in Radiology. Radiologic Clinics of North America 2024;62(6):935 View
  3. Li Y, Luan Z, Liu Y, Liu H, Qi J, Han D. Automated information extraction model enhancing traditional Chinese medicine RCT evidence extraction (Evi-BERT): algorithm development and validation. Frontiers in Artificial Intelligence 2024;7 View
  4. Scherbakov D, Hubig N, Lenert L, Alekseyenko A, Obeid J. Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review. JMIR Mental Health 2025;12:e67192 View
  5. Amirian S, Kekre A, Loganathan B, Chavan V, Kandula P, Littlefield N, Franco J, Tafti A, Ebuenyi I. Advancing psychosocial disability and psychosocial rehabilitation research through large language models and computational text mining. Cambridge Prisms: Global Mental Health 2024;11 View
  6. Marfeo E, Sacco M, Maldonado J, Coale K, Silva R, Parks R, Rasch E. Applying NLP methods to code functional performance in electronic health records using the international classification of functioning, disability, and health. Disability and Health Journal 2025:101888 View

Books/Policy Documents

  1. Tyagi N, Bhushan B. Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities. View
  2. Roberts K, Xu H, Demner Fushman D. Natural Language Processing in Biomedicine. View
  3. Mir T, Yang H, Chou Y, Teng Y, Liao W, Lin Y, Gupta S, Panchal O, Jonnagaddala J, Chen C, Dai H. Large Language Models for Automatic Deidentification of Electronic Health Record Notes. View

Conference Proceedings

  1. Gaurav A, Gupta B, Chui K. 2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE). BERT Based Model for Robust Mental Health Analysis in Clinical Informatics View