Evolution of computational infrastructure for storage and retrieval scientific health data

• Grant number: 20/07205-0
• Support Opportunities: Regular Research Grants
• Start date: October 01, 2020
• End date: September 30, 2022
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: João Eduardo Ferreira
• Grantee: João Eduardo Ferreira
• Host Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated scholarship(s): 20/12859-0 - Evolution of computational infrastructure for storage and retrieval scientific health data, BP.TT

Abstract

The activities foreseen in this project will provide new computational functionalities for the storage and retrieval of scientific health data, as well as new interfaces for the visualization and analysis of data related to Covid-19. These data come from the Einstein, Sírio-Libanês and Fleury institutions, in a first moment, and public and other private institutions in a second moment. (AU)

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)

LEVIN, ANNA S.; FREIRE, MARISTELA P.; DE OLIVEIRA, MAURA SALAROLI; NASTRI, ANA CATHARINA S.; HARIMA, LEILA S.; PERDIGAO-NETO, LAURO VIEIRA; MAGRI, MARCELLO M.; FIALKOVITZ, GABRIEL; FIGUEIREDO, PEDRO H. M. F.; SICILIANO, RINALDO FOCACCIA; et al. Correlating drug prescriptions with prognosis in severe COVID-19: first step towards resource management. BMC MEDICAL INFORMATICS AND DECISION MAKING, v. 22, n. 1, p. 9-pg., 2022-09-21. (20/12859-0, 20/07205-0)

RODRIGUES, DAVI SILVA; NASTRI, ANA CATHARINA S.; MAGRI, MARCELLO M.; DE OLIVEIRA, MAURA SALAROLI; SABINO, ESTER C.; FIGUEIREDO, PEDRO H. M. F.; LEVIN, ANNA S.; FREIRE, MARISTELA P.; HARIMA, LEILA S.; NUNES, FATIMA L. S.; et al. Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records. BMC MEDICAL INFORMATICS AND DECISION MAKING, v. 22, n. 1, p. 15-pg., 2022-07-17. (20/12859-0, 20/07205-0)