S. Avila

Machine Learning Improves the Identification of Individuals With Higher Morbidity and Avoidable Health Costs After Acute Coronary Syndromes.

A. Sposito, S. Gioppato, W. Nadruz, 2020, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

Rationale and design of the Brazilian diabetes study: a prospective cohort of type 2 diabetes

G. Guerra‐Júnior, A. Sposito, T. Quinaglia, 2021, Current medical research and opinion.

The framing of time-dependent machine learning models improves risk estimation among young individuals with acute coronary syndromes

A. Sposito, A. C. Nogueira, M. D. Fernandez, 2023, Scientific Reports.