The practical application of machine learning models in clinical medicine is limited by the substantial amount of time required to input the many variables that the models depend on. This study aimed to develop a good-performing prediction tool for outcomes after posterior cervical fusion procedures using a limited number of pre-operative variables.
Details
Title
A machine learning model utilizing only six variables can accurately predict outcomes following posterior cervical fusion
Creator
Smith, Spencer : Oregon Health and Science University Yoo, Jung : Oregon Health and Science University
Meeting Name
Research Week, Oregon Health and Science University, 2023
