AIMC Topic: Brazil
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Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board Examinations.
Radiology. Artificial intelligence
Jan 1, 2024
This prospective exploratory study conducted from January 2023 through May 2023 evaluated the ability of ChatGPT to answer questions from Brazilian radiology board examinations, exploring how different prompt strategies can influence performance usin...
Technology description, initial experience and first impression of HUGO™ RAS robot platform in urologic procedures in Brazil.
International braz j urol : official journal of the Brazilian Society of Urology
Jan 1, 2023
Characterizing Infant Mortality Using Data Mining - A Case Study in Two Brazilian States - Santa Catarina and Amapá.
Studies in health technology and informatics
Jun 6, 2022
Infant mortality is characterized by the death of young children under the age of one, and it is an issue affecting millions of children in the world. The objective of this article is to employ concepts of knowledge discovery in databases, specifical...
Cause-specific mortality prediction in older residents of São Paulo, Brazil: a machine learning approach.
Age and ageing
Sep 11, 2021
BACKGROUND: Populational ageing has been increasing in a remarkable rate in developing countries. In this scenario, preventive strategies could help to decrease the burden of higher demands for healthcare services. Machine learning algorithms have be...
Field performance of sterile male mosquitoes released from an uncrewed aerial vehicle.
Science robotics
Jun 15, 2020
Genetic control methods of mosquito vectors of malaria, dengue, yellow fever, and Zika are becoming increasingly popular due to the limitations of other techniques such as the use of insecticides. The sterile insect technique is an effective genetic ...
Forecasting beef production and quality using large-scale integrated data from Brazil.
Journal of animal science
Apr 1, 2020
With agriculture rapidly becoming a data-driven field, it is imperative to extract useful information from large data collections to optimize the production systems. We compared the efficacy of regression (linear regression or generalized linear regr...
Deep Learning Algorithms Improve Automated Identification of Chagas Disease Vectors.
Journal of medical entomology
Sep 3, 2019
Vector-borne Chagas disease is endemic to the Americas and imposes significant economic and social burdens on public health. In a previous contribution, we presented an automated identification system that was able to discriminate among 12 Mexican an...
Fuzzy logic and hospital admission due to respiratory diseases using estimated values by mathematical model.
Ciencia & saude coletiva
Mar 1, 2019
Hospitalizations due to respiratory diseases generate financial costs for the Health System in addition to social costs. Objective of this study was to develop and validate a fuzzy linguistic model for prediction of hospitalization due to respiratory...
Overachieving Municipalities in Public Health: A Machine-learning Approach.
Epidemiology (Cambridge, Mass.)
Nov 1, 2018
BACKGROUND: Identifying successful public health ideas and practices is a difficult challenge towing to the presence of complex baseline characteristics that can affect health outcomes. We propose the use of machine learning algorithms to predict lif...
Prevalence of latent Mycobacterium tuberculosis infection in renal transplant recipients.
Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia
Jan 1, 2018
OBJECTIVE: To estimate the prevalence of latent Mycobacterium tuberculosis infection (LTBI) in renal transplant recipients and to assess sociodemographic, behavioral, and clinical associations with positive tuberculin skin test (TST) results.
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