Understanding Transformer-Based Classifications of Medical Text Using a Large Language Model for the Attribution of Feature Importance: Proof-of-Concept Algorithm Development and Validation Study
Understanding Transformer-Based Classifications of Medical Text Using a Large Language Model for the Attribution of Feature Importance: Proof-of-Concept Algorithm Development and Validation Study
Fangwen Zhou
1
, MSc ;
Ashirbani Saha
2
, PhD ;
Muhammad Afzal
3
, PhD ;
Rick Parrish
1
;
R Brian Haynes
1
, MD, PhD ;
Alfonso Iorio
1, 4
, MD, PhD ;
Cynthia Lokker
1
, PhD
1
Health Information Research Unit, Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
2
Department of Oncology, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
3
Department of Computer Science, Birmingham City University, Birmingham, United Kingdom
4
Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
Corresponding Author:
-
Cynthia Lokker, PhD
-
Health Information Research Unit, Department of Health Research Methods, Evidence, and Impact
-
Faculty of Health Sciences, McMaster University
-
1280 Main Street West
-
Hamilton, ON L8S 4L8
-
Canada
-
Phone:
1 905-525-9140 ext 22208
-
Email: lokkerc@mcmaster.ca