Validation and improvement of machine learning models for predicting cardiovascular events

• Grant number: 23/01695-4
• Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training
• Start date: April 01, 2023
• End date: March 31, 2025
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Agreement: European Commission (Horizon 2020)
• Principal Investigator: Paulo Mazzoncini de Azevedo Marques
• Grantee: Hilton Vicente César
• Host Institution: Faculdade de Medicina de Ribeirão Preto (FMRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil
• Associated research grant: 21/06137-4 - Predicting cardiovascular events using machine learning, AP.R

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

SHIMIZU, GILSON YUUJI; SCHREMPF, MICHAEL; ROMAO, ELEN ALMEIDA; JAUK, STEFANIE; KRAMER, DIETHER; RAINER, PETER P.; CARDEAL DA COSTA, JOSE ABRAO; DE AZEVEDO-MARQUES, JOAO MAZZONCINI; SCARPELINI, SANDRO; SUZUKI, KATIA MITIKO FIRMINO; et al. Machine learning-based risk prediction for major adverse cardiovascular events in a Brazilian hospital: Development, external validation, and interpretability. PLoS One, v. 19, n. 10, p. 23-pg., 2024-10-11. (21/06137-4, 22/16683-9, 23/01695-4)

SHIMIZU, GILSON YUUJI; ROMAO, ELEN ALMEIDA; CARDEAL DA COSTA, JOSE ABRAO; MAZZONCINI DE AZEVEDO-MARQUES, JOAO; SCARPELINI, SANDRO; FIRMINO SUZUKI, KATIA MITIKO; CESAR, HILTON VICENTE; AZEVEDO-MARQUES, PAULO M.. External validation and interpretability of machine learning-based risk prediction for major adverse cardiovascular events. 2024 IEEE 37TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS 2024, v. N/A, p. 6-pg., 2024-01-01. (14/50889-7, 21/06137-4, 22/16683-9, 23/01695-4)