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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1532) JMIR Theme Issue: COVID-19 Special Issue (2503) Outbreak and Pandemic Preparedness and Management (1785) Surveillance Systems (496) Natural Language Processing (813) Public Health Informatics (101)

Published on in Vol 8, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41529, first published .
Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System

Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System

Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System

Authors of this article:

Deborah E Malden1, 2 Author Orcid Image ;   Sara Y Tartof2, 3 Author Orcid Image ;   Bradley K Ackerson4 Author Orcid Image ;   Vennis Hong2 Author Orcid Image ;   Jacek Skarbinski5, 6 Author Orcid Image ;   Vincent Yau7 Author Orcid Image ;   Lei Qian2 Author Orcid Image ;   Heidi Fischer2 Author Orcid Image ;   Sally F Shaw2 Author Orcid Image ;   Susan Caparosa2 Author Orcid Image ;   Fagen Xie2 Author Orcid Image
Article Authors Cited by (17) Tweetations (4) Metrics

Journals

  1. Lewnard J, McLaughlin J, Malden D, Hong V, Puzniak L, Ackerson B, Lewin B, Kim J, Shaw S, Takhar H, Jodar L, Tartof S. Effectiveness of nirmatrelvir–ritonavir in preventing hospital admissions and deaths in people with COVID-19: a cohort study in a large US health-care system. The Lancet Infectious Diseases 2023;23(7):806 View
  2. Lewnard J, Hong V, Kim J, Shaw S, Lewin B, Takhar H, Tartof S. Association of SARS-CoV-2 BA.4/BA.5 Omicron lineages with immune escape and clinical outcome. Nature Communications 2023;14(1) View
  3. Motta P, Cortez P, Silva B, Yang G, Albuquerque V. Automatic COVID-19 and Common-Acquired Pneumonia Diagnosis Using Chest CT Scans. Bioengineering 2023;10(5):529 View
  4. Ku J, Sy L, Qian L, Ackerson B, Luo Y, Tubert J, Lee G, Florea A, Bruxvoort K, Xie F, Qiu S, Chavers S, Talarico C, Tseng H. Effectiveness of a fourth dose of mRNA-1273 against COVID-19 among older adults in the United States: Interim results from an observational cohort study. Vaccine 2023;41(29):4212 View
  5. Dolatabadi E, Moyano D, Bales M, Spasojevic S, Bhambhoria R, Bhatti J, Debnath S, Hoell N, Li X, Leng C, Nanda S, Saab J, Sahak E, Sie F, Uppal S, Vadlamudi N, Vladimirova A, Yakimovich A, Yang X, Kocak S, Cheung A. Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: Natural Language Processing Approach. Journal of Medical Internet Research 2023;25:e45767 View
  6. Ortiz de Frutos F, Giménez‐Arnau A, Puig L, Silvestre J, Serra E, Salgado‐Boquete L, García‐Patos V, Estebaranz J, Notario J, Martin‐Santiago A, Pontevia G, Martín V, Guinea G, Terradas P, Daudén E. The DERMACLEAR study: Verification results of a natural language processing system in dermatology. JEADV Clinical Practice 2023;2(4):775 View
  7. Homburg M, Meijer E, Berends M, Kupers T, Olde Hartman T, Muris J, de Schepper E, Velek P, Kuiper J, Berger M, Peters L. A Natural Language Processing Model for COVID-19 Detection Based on Dutch General Practice Electronic Health Records by Using Bidirectional Encoder Representations From Transformers: Development and Validation Study. Journal of Medical Internet Research 2023;25:e49944 View
  8. Wei W, Leung C, Tang A, McNeil E, Wong S, Kwok K. Extracting symptoms from free-text responses using ChatGPT among COVID-19 cases in Hong Kong. Clinical Microbiology and Infection 2024;30(1):142.e1 View
  9. Xie F, Chang J, Luong T, Wu B, Lustigova E, Shrader E, Chen W. Identifying Symptoms Prior to Pancreatic Ductal Adenocarcinoma Diagnosis in Real-World Care Settings: Natural Language Processing Approach. JMIR AI 2024;3:e51240 View
  10. Kwok K, Wei W, Mcneil E, Tang A, Tang J, Wong S, Yeoh E. Comparative analysis of symptom profile and risk of death associated with infection by SARS‐CoV‐2 and its variants in Hong Kong. Journal of Medical Virology 2024;96(2) View
  11. Malden D, McLaughlin J, Hong V, Lewnard J, Ackerson B, Puzniak L, Kim J, Takhar H, Frankland T, Slezak J, Tartof S. Predictors of nirmatrelvir–ritonavir receipt among COVID-19 patients in a large US health system. Scientific Reports 2024;14(1) View
  12. McMurry A, Zipursky A, Geva A, Olson K, Jones J, Ignatov V, Miller T, Mandl K. Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study. Journal of Medical Internet Research 2024;26:e53367 View
  13. Malden D, Liu I, Qian L, Sy L, Lewin B, Asamura D, Ryan D, Bezi C, Williams J, Kaiser R, Daley M, Nelson J, McClure D, Zerbo O, Henninger M, Fuller C, Weintraub E, Saydah S, Tartof S. Post-COVID conditions following COVID-19 vaccination: a retrospective matched cohort study of patients with SARS-CoV-2 infection. Nature Communications 2024;15(1) View
  14. Cerda I, Zhang E, Dominguez M, Ahmed M, Lang M, Ashina S, Schatman M, Yong R, Fonseca A. Artificial Intelligence and Virtual Reality in Headache Disorder Diagnosis, Classification, and Management. Current Pain and Headache Reports 2024;28(9):869 View
  15. Khalate P, Gite S, Pradhan B, Lee C. Advancements and gaps in natural language processing and machine learning applications in healthcare: a comprehensive review of electronic medical records and medical imaging. Frontiers in Physics 2024;12 View
  16. Xie F, Zeiger R, Saparudin M, Al-Salman S, Puttock E, Crawford W, Schatz M, Xu S, Vollmer W, Chen W. Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study. JMIR AI 2025;4:e69132 View
  17. Chen W, Puttock E, Xie F, Crawford W, Schatz M, Vollmer W, Xu S, Zeiger R. Symptoms of Asthma Extracted Through Natural Language Processing and Their Associations With Acute Asthma Exacerbation in Adults With Mild Asthma. The Journal of Allergy and Clinical Immunology: In Practice 2025 View