AIMC Topic: Brazil

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A Protocol for the Diagnosis of Autism Spectrum Disorder Structured in Machine Learning and Verbal Decision Analysis.

Computational and mathematical methods in medicine Mar 30, 2021
Autism Spectrum Disorder is a mental disorder that afflicts millions of people worldwide. It is estimated that one in 160 children has traces of autism, with five times the higher prevalence in boys. The protocols for detecting symptoms are diverse. ...
Expert Systems Male Decision Support Techniques Humans Diagnosis, Computer-Assisted Autism Spectrum Disorder Brazil Diagnostic and Statistical Manual of Mental Disorders Machine Learning Infant Child, Preschool Female Algorithms Computational Biology Infant, Newborn Decision Trees
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App-based symptom tracking to optimize SARS-CoV-2 testing strategy using machine learning.

PloS one Mar 25, 2021
BACKGROUND: Tests are scarce resources, especially in low and middle-income countries, and the optimization of testing programs during a pandemic is critical for the effectiveness of the disease control. Hence, we aim to use the combination of sympto...
False Negative Reactions False Positive Reactions Risk Anosmia Self Report COVID-19 Testing Machine Learning Dyspnea COVID-19 Retrospective Studies Female Humans SARS-CoV-2 Brazil Adult Mobile Applications Male Registries Middle Aged Fever
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The Spread of the COVID-19 Outbreak in Brazil: An Overview by Kohonen Self-Organizing Map Networks.

Medicina (Kaunas, Lithuania) Mar 3, 2021
: In the current pandemic scenario, data mining tools are fundamental to evaluate the measures adopted to contain the spread of COVID-19. In this study, unsupervised neural networks of the Self-Organizing Maps (SOM) type were used to assess the spati...
SARS-CoV-2 Brazil Spatio-Temporal Analysis Unsupervised Machine Learning Humans Neural Networks, Computer COVID-19
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Reference evapotranspiration of Brazil modeled with machine learning techniques and remote sensing.

PloS one Feb 9, 2021
Reference evapotranspiration (ETo) is a fundamental parameter for hydrological studies and irrigation management. The Penman-Monteith method is the standard to estimate ETo and requires several meteorological elements. In developing countries, the nu...
Machine Learning Brazil Models, Statistical Remote Sensing Technology Reference Standards Hydrology Volatilization
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A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil.

Scientific reports Feb 8, 2021
The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and the effective allocation of healthcare resources. An accurate prognostic assessment is necessary to improve survival of patients, especially in developing countrie...
Cohort Studies Reverse Transcriptase Polymerase Chain Reaction Computational Biology C-Reactive Protein Brazil Respiration, Artificial Length of Stay Intensive Care Units Machine Learning Lymphocyte Count Female COVID-19 SARS-CoV-2 Algorithms Aged Prognosis Humans Aged, 80 and over Adult Male Middle Aged
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Machine learning model for predicting severity prognosis in patients infected with COVID-19: Study protocol from COVID-AI Brasil.

PloS one Feb 1, 2021
The new coronavirus, which began to be called SARS-CoV-2, is a single-stranded RNA beta coronavirus, initially identified in Wuhan (Hubei province, China) and currently spreading across six continents causing a considerable harm to patients, with no ...
Humans Sample Size Algorithms Prognosis Brazil Severity of Illness Index Artificial Intelligence Machine Learning COVID-19
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Covid-19 Automated Diagnosis and Risk Assessment through Metabolomics and Machine Learning.

Analytical chemistry Jan 20, 2021
COVID-19 is still placing a heavy health and financial burden worldwide. Impairment in patient screening and risk management plays a fundamental role on how governments and authorities are directing resources, planning reopening, as well as sanitary ...
Risk Assessment Brazil Adult Metabolomics Male Automation Humans Middle Aged Machine Learning COVID-19 Biomarkers Female SARS-CoV-2 Aged
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Attitude of Brazilian dentists and dental students regarding the future role of artificial intelligence in oral radiology: a multicenter survey.

Dento maxillo facial radiology Jan 12, 2021
OBJECTIVES: The aim of this study was to assess the attitude of dentists and dental students in Brazil regarding the impact of artificial intelligence (AI) in oral radiology, and to evaluate the effect of an introductory AI lecture on their attitude.
Artificial Intelligence Brazil Surveys and Questionnaires Radiology Humans Students, Dental Dentists
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Machine learning and statistics to qualify environments through multi-traits in Coffea arabica.

PloS one Jan 12, 2021
Several factors such as genotype, environment, and post-harvest processing can affect the responses of important traits in the coffee production chain. Determining the influence of these factors is of great relevance, as they can be indicators of the...
Food Handling Coffee Food Quality Machine Learning Brazil Genotype Cluster Analysis Principal Component Analysis Discriminant Analysis Coffea
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Transfer Learning for COVID-19 cases and deaths forecast using LSTM network.

ISA transactions Jan 4, 2021
In this paper, Transfer Learning is used in LSTM networks to forecast new COVID cases and deaths. Models trained in data from early COVID infected countries like Italy and the United States are used to forecast the spread in other countries. Single a...
Humans COVID-19 Forecasting Brazil Deep Learning India United States
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