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

Natural Language Processing (706) Clinical Informatics (1050) Substance Abuse (428) Machine Learning (1501) Clinical Information and Decision Making (1434) Electronic Health Records (1068) Decision Support for Health Professionals (1210) Computer-Aided Diagnosis (135) Diagnostic Tools in Mental Health (248) HIV/AIDS/STI Prevention and Care (882) Ontologies, Classifications, and Coding (243)

Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23456, first published .
Natural Language Processing of Clinical Notes to Identify Mental Illness and Substance Use Among People Living with HIV: Retrospective Cohort Study

Natural Language Processing of Clinical Notes to Identify Mental Illness and Substance Use Among People Living with HIV: Retrospective Cohort Study

Natural Language Processing of Clinical Notes to Identify Mental Illness and Substance Use Among People Living with HIV: Retrospective Cohort Study

Authors of this article:

Jessica P Ridgway1 Author Orcid Image ;   Arno Uvin1 Author Orcid Image ;   Jessica Schmitt1 Author Orcid Image ;   Tomasz Oliwa2 Author Orcid Image ;   Ellen Almirol1 Author Orcid Image ;   Samantha Devlin1 Author Orcid Image ;   John Schneider1 Author Orcid Image
Article Authors Cited by (18) Tweetations (5) Metrics

Journals

  1. Ridgway J, Lee A, Devlin S, Kerman J, Mayampurath A. Machine Learning and Clinical Informatics for Improving HIV Care Continuum Outcomes. Current HIV/AIDS Reports 2021;18(3):229 View
  2. Wang K, Tan F, Zhu Z, Kong L. Exploring changes in depression and radiology-related publications research focus: A bibliometrics and content analysis based on natural language processing. Frontiers in Psychiatry 2022;13 View
  3. Tang L, Jeffery A, Leech A, Osmundson S, Schirle L, Phillippi J. A comparison of methods to identify antenatal substance use within electronic health records. American Journal of Obstetrics & Gynecology MFM 2022;4(2):100535 View
  4. Bae J, Han H, Yang S, Song G, Sa S, Chung G, Seo J, Jin E, Kim H, An D. Natural Language Processing for Assessing Quality Indicators in Free-Text Colonoscopy and Pathology Reports: Development and Usability Study. JMIR Medical Informatics 2022;10(4):e35257 View
  5. Zanotto B, Beck da Silva Etges A, dal Bosco A, Cortes E, Ruschel R, De Souza A, Andrade C, Viegas F, Canuto S, Luiz W, Ouriques Martins S, Vieira R, Polanczyk C, André Gonçalves M. Stroke Outcome Measurements From Electronic Medical Records: Cross-sectional Study on the Effectiveness of Neural and Nonneural Classifiers. JMIR Medical Informatics 2021;9(11):e29120 View
  6. Lea A, Altschuler A, Leibowitz A, Levine-Hall T, McNeely J, Silverberg M, Satre D. Patient and provider perspectives on self-administered electronic substance use and mental health screening in HIV primary care. Addiction Science & Clinical Practice 2022;17(1) View
  7. Wang L, Zhang Y, Chignell M, Shan B, Sheehan K, Razak F, Verma A. Boosting Delirium Identification Accuracy With Sentiment-Based Natural Language Processing: Mixed Methods Study. JMIR Medical Informatics 2022;10(12):e38161 View
  8. Mahmoudi E, Wu W, Najarian C, Aikens J, Bynum J, Vydiswaran V. Identifying Caregiver Availability Using Medical Notes With Rule-Based Natural Language Processing: Retrospective Cohort Study. JMIR Aging 2022;5(3):e40241 View
  9. Stewart de Ramirez S, Shallat J, McClure K, Foulger R, Barenblat L. Screening for Social Determinants of Health: Active and Passive Information Retrieval Methods. Population Health Management 2022;25(6):781 View
  10. Wu C, Chen C, Su C, Chien Y, Dai H, Chen H. Augmenting DSM-5 diagnostic criteria with self-attention-based BiLSTM models for psychiatric diagnosis. Artificial Intelligence in Medicine 2023;136:102488 View
  11. Ridgway J, Ajith A, Friedman E, Mugavero M, Kitahata M, Crane H, Moore R, Webel A, Cachay E, Christopoulos K, Mayer K, Napravnik S, Mayampurath A. Multicenter Development and Validation of a Model for Predicting Retention in Care Among People with HIV. AIDS and Behavior 2022;26(10):3279 View
  12. McDaniel B, Cornet V, Carroll J, Chrones L, Chudzik J, Cochran J, Guha S, Lawrence D, McCue M, Sarkey S, Lorenz B, Fawver J. Real-world clinical outcomes and treatment patterns in patients with MDD treated with vortioxetine: a retrospective study. BMC Psychiatry 2023;23(1) View
  13. Rohanian O, Nouriborji M, Jauncey H, Kouchaki S, Nooralahzadeh F, Clifton L, Merson L, Clifton D. Lightweight transformers for clinical natural language processing. Natural Language Engineering 2024;30(5):887 View
  14. Mahbub M, Goethert I, Danciu I, Knight K, Srinivasan S, Tamang S, Rozenberg-Ben-Dror K, Solares H, Martins S, Trafton J, Begoli E, Peterson G. Question-answering system extracts information on injection drug use from clinical notes. Communications Medicine 2024;4(1) View
  15. Ehrett C, Hegde S, Andre K, Liu D, Wilson T. Leveraging Open-Source Large Language Models for Data Augmentation to Improve Text Classification in Surveys of Medical Staff (Preprint). JMIR Medical Education 2023 View
  16. Arısoy A. NATURAL LANGUAGE PROCESSING ALGORITHMS AND PERFORMANCE COMPARISON. Yalvaç Akademi Dergisi 2024;9(2):106 View
  17. 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

Books/Policy Documents

  1. Tyagi N, Bhushan B. Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities. View