41 citations · 41 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 41 cited
A New Approach for Interpretability and Reliability in Clinical Risk Prediction: Acute Coronary Syndrome Scenario
Francisco Valente, Jorge Henriques, Simão Paredes +3
We intend to create a new risk assessment methodology that combines the best characteristics of both risk score and machine learning models. More specifically, we aim to develop a…
cs.LG2021
Improving the compromise between accuracy, interpretability and personalization of rule-based machine learning in medical problems
Francisco Valente, Jorge Henriques, Simão Paredes +3
One of the key challenges when developing a predictive model is the capability to describe the domain knowledge and the cause-effect relationships in a simple way. Decision rules a…