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Comparison of Prompt Engineering and Fine-Tuning Strategies in Large Language Models in the Classification of Clinical Notes.

Autor: Zhang X; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA., Talukdar N; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA., Vemulapalli S; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA.; Office of Research, Spectrum Health, Grand Rapids, MI, USA., Ahn S; Department of Computer Science and Engineering, College of Engineering, Michigan State University, East Lansing, MI, USA., Wang J; Department of Computer Science and Engineering, College of Engineering, Michigan State University, East Lansing, MI, USA., Meng H; Department of Computer Science and Engineering, College of Engineering, Michigan State University, East Lansing, MI, USA., Bin Murtaza SM; Department of Computer Science and Engineering, College of Engineering, Michigan State University, East Lansing, MI, USA., Leshchiner D; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA., Dave AA; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA.; Center for Bioethics and Social Justice, Michigan State University, Grand Rapids, MI, USA., Joseph DF; Department of Pharmacology and Toxicology, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA., Witteveen-Lane M; Office of Research, Spectrum Health, Grand Rapids, MI, USA., Chesla D; Office of Research, Spectrum Health, Grand Rapids, MI, USA.; Department of Obstetrics, Gynecology and Reproductive Biology, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA., Zhou J; Department of Computer Science and Engineering, College of Engineering, Michigan State University, East Lansing, MI, USA., Chen B; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA.; Department of Computer Science and Engineering, College of Engineering, Michigan State University, East Lansing, MI, USA.; Department of Pharmacology and Toxicology, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA.

Publikováno v: AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science [AMIA Jt Summits Transl Sci Proc] 2024 May 31; Vol. 2024, pp. 478-487. Date of Electronic Publication: 2024 May 31 (Print Publication: 2024).

MetBERT: a generalizable and pre-trained deep learning model for the prediction of metastatic cancer from clinical notes.

Autor: Liu K; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA.; Department of Pharmacology and Toxicology, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA.; Equal contribution., Kulkarni O; Office of Research, Spectrum Health, Grand Rapids, MI, USA.; Equal contribution., Witteveen-Lane M; Office of Research, Spectrum Health, Grand Rapids, MI, USA., Chen B; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA.; Department of Pharmacology and Toxicology, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA.; correspondences: Bin Chen (chenbi12@msu.edu), Dave Chesla (david.chesla@spectrumhealth.org)., Chesla D; Office of Research, Spectrum Health, Grand Rapids, MI, USA.; Department of Obstetrics, Gynecology and Reproductive Biology, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA.; correspondences: Bin Chen (chenbi12@msu.edu), Dave Chesla (david.chesla@spectrumhealth.org).

Publikováno v: AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science [AMIA Jt Summits Transl Sci Proc] 2022 May 23; Vol. 2022, pp. 331-338. Date of Electronic Publication: 2022 May 23 (Print Publication: 2022).