4 papers
Joint Score-Threshold Optimization for Interpretable Risk Assessment
Fardin Ganjkhanloo, Emmett Springer, Erik H. Hoyer +2
Risk assessment tools in healthcare commonly employ point-based scoring systems that map patients to ordinal risk categories via thresholds. While electronic health record (EHR) da…
From Non-Identifiability to Goal-Integrated Decision-Making in Parametric Inverse Optimization
Farzin Ahmadi, Fardin Ganjkhanloo, Kimia Ghobadi
Inverse optimization seeks to recover unknown objective parameters from observed decisions, yet fundamental questions about when recovery is possible have received limited formal t…
An interpretable data-driven approach to optimizing clinical fall risk assessment
Fardin Ganjkhanloo, Emmett Springer, Erik H. Hoyer +2
In this study we aim to better align fall risk prediction from the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) with additional clinically meaningful measures via a data-driven…
An interpretable data-driven approach to optimizing clinical fall risk assessment
Fardin Ganjkhanloo, Emmett Springer, Erik H. Hoyer +3
In this study, we aim to better align fall risk prediction from the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) with additional clinically meaningful measures via a data-drive…