DS4DH at MEDIQA-Chat 2023: Leveraging SVM and GPT-3 Prompt Engineering for Medical Dialogue Classification and Summarization
Boya Zhang, Rahul Mishra, Douglas Teodoro · 2023
This paper presents the results of the Data Science for Digital Health (DS4DH) group in the MEDIQA-Chat Tasks at ACL-ClinicalNLP 2023.Our study combines the power of a classical machine learning method, Support Vector Machine, for classifying medical dialogues, along with the implementation of oneshot prompts using GPT-3.5.We employ dialogues and summaries from the same category as prompts to generate summaries for novel dialogues.Our findings exceed the average benchmark score, offering a robust reference for assessing performance in this field.