首页|期刊导航|社会系统计算科学（英文）|GPT Models Can Perform Thematic Analysis in Public Health Studies,Akin to Qualitative Researchers
社会系统计算科学（英文）2024，Vol.5Issue(4)：293-312,20.DOI:10.23919/JSC.2024.0024
GPT Models Can Perform Thematic Analysis in Public Health Studies,Akin to Qualitative Researchers
GPT Models Can Perform Thematic Analysis in Public Health Studies,Akin to Qualitative Researchers
摘要
关键词
social computing applications in healthcare and public health/ethnographic and qualitative methodologies/machine learning/data mining/computational linguisticsKey words
social computing applications in healthcare and public health/ethnographic and qualitative methodologies/machine learning/data mining/computational linguistics引用本文复制引用
Yuyi Yang,Charles Alba,Chenyu Wang,Xi Wang,Jami Anderson,Ruopeng An..GPT Models Can Perform Thematic Analysis in Public Health Studies,Akin to Qualitative Researchers[J].社会系统计算科学（英文）,2024,5(4):293-312,20.基金项目
This work was supported in part by the Washington University Center for Diabetes Translation Research(WU-CDTR)under Grant Number P30DK092950 from the National Institute of Diabetes and Digestive and Kidney Diseases(NIDDK).The content is solely the responsibility of the authors and does not necessarily represent the official views of the WU-CDTR or NIDDK.In addition,this work was supported in part by OpenAI in the form of token credits.The authors will like to acknowledge Meihua Li,who contributed to the data validation process.Y.Y.would like to acknowledge doctoral funding from the McDonnell Scholars Academy,and C.A.would like to acknowledge doctoral funding from the Danforth Scholarship. （WU-CDTR）
