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

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: An Artificial Intelligence-Assisted Scoping Review (Preprint). JMIR Mental Health 2024 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

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