Zero-shot learning for clinical phenotyping: Comparing LLMs and rule-based methods.

Journal: Computers in biology and medicine
Published Date:

Abstract

BACKGROUND: Phenotyping, the process of systematically identifying and classifying conditions within clinical data, is a crucial first step in any data science work involving Electronic Health Records (EHRs). Traditional approaches require extensive manual annotation efforts and face challenges with scalability.

Authors

  • Bernardo Neves
    Hospital da Luz Learning Health, Luz Saúde, Lisboa, Portugal; Internal Medicine Department, Hospital da Luz Lisboa, Lisboa, Portugal; INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal; Católica Medical School, Universidade Católica Portuguesa, Portugal. Electronic address: bernardoneves@tecnico.ulisboa.pt.
  • José Maria Moreira
    Hospital da Luz Learning Health, Luz Saúde, Lisboa, Portugal.
  • Simão Gonçalves
    Hospital da Luz Learning Health, Luz Saúde, Lisboa, Portugal.
  • Jorge Cerejo
    Hospital da Luz Learning Health, Luz Saúde, Lisboa, Portugal.
  • Nuno A da Silva
    Hospital da Luz Learning Health, Luz Saúde, Lisboa, Portugal.
  • Francisca Leite
    Hospital da Luz Learning Health, Luz Saúde, Lisboa, Portugal; Católica Medical School, Universidade Católica Portuguesa, Portugal.
  • Mário J Silva
    INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal.