72 citations · 73 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
SIBILA: A novel interpretable ensemble of general-purpose machine learning models applied to medical contexts
Antonio Jesús Banegas-Luna, Horacio Pérez-Sánchez
Personalized medicine remains a major challenge for scientists. The rapid growth of Machine learning and Deep learning has made them a feasible al- ternative for predicting the mos…
cs.AI2020★ 72 cited
When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey
Antonio-Jesús Banegas-Luna, Jorge Peña-García, Adrian Iftene +6
Artificial Intelligence is providing astonishing results, with medicine being one of its favourite playgrounds. In a few decades, computers may be capable of formulating diagnoses…