AIMC Topic: Brazil
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Uterine Transplantation with Robot-assisted Uterus Retrieval from Living Donor: First Case in Brazil.
Journal of minimally invasive gynecology
Sep 4, 2021
OBJECTIVE: To present the first robot-assisted uterus retrieval from a living donor for uterine transplantation in Brazil.
Artificial Inteligence-Based Decision for the Prediction of Cardioembolism in Patients with Chagas Disease and Ischemic Stroke.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Aug 13, 2021
BACKGROUND: Chagas disease (CD) and ischemic stroke (IS) have a close, but poorly understood, association. There is paucity of evidence on the ideal secondary prophylaxis and etiological determination, with few cardioembolic patients being identified...
Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors.
Scientific reports
Aug 2, 2021
The COVID-19 pandemic continues to have a devastating impact on Brazil. Brazil's social, health and economic crises are aggravated by strong societal inequities and persisting political disarray. This complex scenario motivates careful study of the c...
Diagnostic of Operation Conditions and Sensor Faults Using Machine Learning in Sucker-Rod Pumping Wells.
Sensors (Basel, Switzerland)
Jul 2, 2021
In sucker-rod pumping wells, due to the lack of an early diagnosis of operating condition or sensor faults, several problems can go unnoticed. These problems can increase downtime and production loss. In these wells, the diagnosis of operation condit...
Prediction of absenteeism in public schools teachers with machine learning.
Revista de saude publica
Jun 14, 2021
OBJECTIVE: To predict the risk of absence from work due to morbidities of teachers working in early childhood education in the municipal public schools, using machine learning algorithms.
Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing.
Sensors (Basel, Switzerland)
Jun 9, 2021
Forage dry matter is the main source of nutrients in the diet of ruminant animals. Thus, this trait is evaluated in most forage breeding programs with the objective of increasing the yield. Novel solutions combining unmanned aerial vehicles (UAVs) an...
FTIR spectroscopy with machine learning: A new approach to animal DNA polymorphism screening.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Jun 1, 2021
Technological advances in recent decades, especially in molecular genetics, have enabled the detection of genetic DNA markers associated with productive characteristics in animals. However, the prospection of polymorphisms based on DNA sequencing is ...
Artificial Intelligence and Medical Internet of Things Framework for Diagnosis of Coronavirus Suspected Cases.
Journal of healthcare engineering
May 28, 2021
The world has been facing the COVID-19 pandemic since December 2019. Timely and efficient diagnosis of COVID-19 suspected patients plays a significant role in medical treatment. The deep transfer learning-based automated COVID-19 diagnosis on chest X...
Comparative study of machine learning methods for COVID-19 transmission forecasting.
Journal of biomedical informatics
Apr 26, 2021
Within the recent pandemic, scientists and clinicians are engaged in seeking new technology to stop or slow down the COVID-19 pandemic. The benefit of machine learning, as an essential aspect of artificial intelligence, on past epidemics offers a new...
Classification Models for COVID-19 Test Prioritization in Brazil: Machine Learning Approach.
Journal of medical Internet research
Apr 8, 2021
BACKGROUND: Controlling the COVID-19 outbreak in Brazil is a challenge due to the population's size and urban density, inefficient maintenance of social distancing and testing strategies, and limited availability of testing resources.
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