Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Igor Vitor Teixeira

Showing results (1-10 of 3) with videos related to

Pageof 1
Sort By:
BMC Pregnancy and Childbirth|May 3, 2022
Syphilis Trigram: a domain-specific visualisation to combat syphilis epidemic and improve the quality of maternal and child health in BrazilCleber Matos de Morais, Igor Vitor Teixeira, Sara Sadok, et al.
Plos Neglected Tropical Diseases|January 13, 2022
Machine learning and deep learning techniques to support clinical diagnosis of arboviral diseases: A systematic reviewSebastião Rogério da Silva Neto, Thomás Tabosa Oliveira, Igor Vitor Teixeira, et al.
Plos One|June 2, 2023
Predicting congenital syphilis cases: A performance evaluation of different machine learning modelsIgor Vitor Teixeira, Morgana Thalita da Silva Leite, Flávio Leandro de Morais Melo, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
BMC Pregnancy and Childbirth|May 3, 2022
Syphilis Trigram: a domain-specific visualisation to combat syphilis epidemic and improve the quality of maternal and child health in BrazilCleber Matos de Morais, Igor Vitor Teixeira, Sara Sadok, et al.
Plos Neglected Tropical Diseases|January 13, 2022
Machine learning and deep learning techniques to support clinical diagnosis of arboviral diseases: A systematic reviewSebastião Rogério da Silva Neto, Thomás Tabosa Oliveira, Igor Vitor Teixeira, et al.
Plos One|June 2, 2023
Predicting congenital syphilis cases: A performance evaluation of different machine learning modelsIgor Vitor Teixeira, Morgana Thalita da Silva Leite, Flávio Leandro de Morais Melo, et al.
Pageof 1