41 citations · 43 across the 3 of their papers we have counts for
3 papers
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…
Personalized and Reliable Decision Sets: Enhancing Interpretability in Clinical Decision Support Systems
Francisco Valente, Simão Paredes, Jorge Henriques
In this study, we present a novel clinical decision support system and discuss its interpretability-related properties. It combines a decision set of rules with a machine learning…
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…