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Talita K B Pinto

Biographic Data

ID7857653
NAMETalita K B Pinto
GIVEN NAMESTalita K B
FAMILY NAMEPinto
SIGNATUREPINTO T K B
AFFILIATIONSUniversidade Federal do Rio Grande do Norte
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Computational methods applied to syphilis: Where are we, and where are we going

    Open Access•Gabriela Albuquerque, Felipe Fernandes et al.•ARTICLE•Frontiers in Public Health•2023

    Syphilis is an infectious disease that can be diagnosed and treated cheaply. Despite being a curable condition, the syphilis rate is increasing worldwide. In this sense, computational methods can analyze data and assist managers in formulating new public policies for preventing and controlling sexually transmitted infections (STIs). Computational techniques can integrate knowledge from experiences and, through an inference mechanism, apply condit…

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  • Computational methods applied to syphilis: Where are we, and where are we going

    Open Access•Gabriela Albuquerque, Felipe Fernandes et al.•ARTICLE•Frontiers in Public Health•2023

    Syphilis is an infectious disease that can be diagnosed and treated cheaply. Despite being a curable condition, the syphilis rate is increasing worldwide. In this sense, computational methods can analyze data and assist managers in formulating new public policies for preventing and controlling sexually transmitted infections (STIs). Computational techniques can integrate knowledge from experiences and, through an inference mechanism, apply condit…

Artificial Intelligence (1 works) · Computer Science (1 works) · Data science (1 works) · Family medicine (1 works) · HIV, Drug Use, Sexual Risk (1 works) · Medicine (1 works) · Psychological intervention (1 works) · Public health (1 works) · Reproductive tract infections research (1 works) · Syphilis (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae