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Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63445, first published .
Using Large Language Models to Abstract Complex Social Determinants of Health From Original and Deidentified Medical Notes: Development and Validation Study

Using Large Language Models to Abstract Complex Social Determinants of Health From Original and Deidentified Medical Notes: Development and Validation Study

Using Large Language Models to Abstract Complex Social Determinants of Health From Original and Deidentified Medical Notes: Development and Validation Study

Journals

  1. Zhang J, Zhou J, Zhou L, Ba Z. Extracting Multifaceted Characteristics of Patients With Chronic Disease Comorbidity: Framework Development Using Large Language Models. JMIR Medical Informatics 2025;13:e70096 View
  2. Kehl K. Use of Large Language Models in Clinical Cancer Research. JCO Clinical Cancer Informatics 2025;(9) View
  3. Steel P, Wardi G, Harrington R, Longhurst C. Learning health system strategies in the AI era. npj Health Systems 2025;2(1) View
  4. Balunov I, Mikhalishchina A, Venerin A, Glazachev O. Artificial intelligence technologies in biomedical research on human adaptation and maladaptation to environmental factors. Ekologiya cheloveka (Human Ecology) 2025;32(1):7 View
  5. Soley N, Bentil M, Shah J, Rouhizadeh M, Taylor C. Unveiling social determinants of health impact on adverse pregnancy outcomes through natural language processing. Scientific Reports 2025;15(1) View
  6. Dai H, Mir T, Chen C, Chen C, Yang H, Lee C, Chou Y, Teng Y, Gupta S, Panchal O, Nadar D, Liao W, Lin Y, Zhao Z, Tsai R, Chang Y, Jonnagaddala J. Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records. npj Digital Medicine 2025;8(1) View
  7. Rajkumar P, Tang R, Sapre H, Zemlin J, Deleray V, Seo J, Mohan S, Xing S, Gouda H, El Abiead Y, Tsunoda S, Zhao H, Dorrestein P. Retrieval-Augmented Language Models Enable Scalable Chemical Source Classification in Metabolomics Workflows. Analytical Chemistry 2026;98(5):3474 View
  8. Farrag A, Soliman A, Hatef E, Goodin A, Rouhizadeh M. Beyond metrics to methods: a scoping review of transformers and large language models for detection of social drivers of health in clinical notes. Journal of the American Medical Informatics Association 2026;33(3):754 View
  9. Lee H, Jadhav K, Ripperger M, Coleman P, Morley T, Palmer S, Han L, Chen Q, Bejan C, Ruderfer D, Walsh C. Clinical Note–Extracted Psychosocial Factors for Predicting Suicide Attempt Among ED Patients With Suicidal Ideation. JAMA Network Open 2026;9(3):e260589 View
  10. Rajwal S, Pandey A, Zhang Z, Chen Y, Liu M, Das S, Rogers H, Sarker A, Xiao Y. Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Systematic Review. Journal of Medical Internet Research 2026;28:e83793 View
  11. Horgan R, Kawakita T, Saade G. Enhancing Maternal Health Surveillance in the United States Through Natural Language Processing. American Journal of Perinatology 2025 View

Conference Proceedings

  1. Kim M, Lee K. Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems. Your Permission Leaks My Data: Second-Hand Privacy Harms in LLM Agents View