AIMC Topic: Brazil

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Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna.

Environmental monitoring and assessment Sep 7, 2019
This study presents an approach on the evaluation of potential laminar erosion in the Ribeirão Sucuri Grande watershed. It is located in the northeast of the state of Goiás, Brazil, a conservation area under strong anthropogenic pressure. A Mamdani f...
Fuzzy Logic Rivers Conservation of Natural Resources Grassland Soil Brazil Environmental Monitoring Water Movements
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A dynamic neural network model for predicting risk of Zika in real time.

BMC medicine Sep 2, 2019
BACKGROUND: In 2015, the Zika virus spread from Brazil throughout the Americas, posing an unprecedented challenge to the public health community. During the epidemic, international public health officials lacked reliable predictions of the outbreak's...
Public Health Zika Virus Infection Epidemics Americas Humans Neural Networks, Computer Brazil
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[Machine learning for predictive analyses in health: an example of an application to predict death in the elderly in São Paulo, Brazil].

Cadernos de saude publica Jul 29, 2019
This study aims to present the stages related to the use of machine learning algorithms for predictive analyses in health. An application was performed in a database of elderly residents in the city of São Paulo, Brazil, who participated in the Healt...
Male Middle Aged Risk Assessment Brazil Female Aged Sensitivity and Specificity ROC Curve Logistic Models Death Humans Machine Learning Algorithms Prognosis
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Characterization of clinical patterns of dengue patients using an unsupervised machine learning approach.

BMC infectious diseases Jul 22, 2019
BACKGROUND: Despite the greater sensitivity of the new dengue clinical classification proposed by the World Health Organization (WHO) in 2009, there is a need for a better definition of warning signs and clinical progression of dengue cases. Classic ...
Algorithms Retrospective Studies Female Aged Humans Child, Preschool Middle Aged Child Brazil Adult Unsupervised Machine Learning Infant Platelet Count Cross-Sectional Studies Abdominal Pain Adolescent Stochastic Processes Male Dengue Age Distribution
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Modelling the influence of environmental parameters over marine planktonic microbial communities using artificial neural networks.

The Science of the total environment Apr 26, 2019
Guanabara Bay is a tropical estuarine ecosystem that receives massive anthropogenic impacts from the metropolitan region of Rio de Janeiro. This ecosystem suffers from an ongoing eutrophication process that has been shown to promote the emergence of ...
Microbiota Plankton Bays Neural Networks, Computer Brazil Environmental Monitoring Models, Biological
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Severe Dengue Prognosis Using Human Genome Data and Machine Learning.

IEEE transactions on bio-medical engineering Feb 4, 2019
UNLABELLED: Dengue has become one of the most important worldwide arthropod-borne diseases. Dengue phenotypes are based on laboratorial and clinical exams, which are known to be inaccurate.
Predictive Value of Tests Brazil Machine Learning Genome, Human Humans Phenotype Case-Control Studies Severe Dengue Prognosis Polymorphism, Single Nucleotide Sensitivity and Specificity Genotype
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Performance of machine-learning algorithms to pattern recognition and classification of hearing impairment in Brazilian farmers exposed to pesticide and/or cigarette smoke.

Environmental science and pollution research international Jan 8, 2019
The use of pesticides has been increasing in agriculture, leading to a public health problem. The aim of this study was to evaluate ototoxic effects in farmers who were exposed to cigarette smoke and/or pesticides and to identify possible classificat...
Young Adult Adult Male Brazil Machine Learning Adolescent Hearing Loss Algorithms Occupational Exposure Female Nicotiana Support Vector Machine Aged Air Pollutants, Occupational Pesticides Smoking Humans Tobacco Smoke Pollution Farmers
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Supplementation with long-acting progesterone in early diestrus in beef cattle: I. effect of artificial insemination on onset of luteolysis.

Domestic animal endocrinology Dec 18, 2018
Progesterone (P4) supplementation in early diestrus advances changes in the endometrial transcriptome, stimulating embryonic development. However, it also induces early onset of luteolysis. Occurrence of luteolysis before D16 postmating can be detrim...
Insemination, Artificial Brazil Pregnancy Injections, Intramuscular Diestrus Time Factors Female Luteolysis Cattle Red Meat Animals Progesterone
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Soybean inoculants in Brazil: an overview of quality control.

Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] Nov 29, 2018
The bacterial strains SEMIA 587 and 5019 (Bradyrhizobium elkanii), 5079 (Bradyrhizobium japonicum), and 5080 (Bradyrhizobium diazoefficiens) are recommended for soybean inoculants in Brazil. In several countries, the current regulations are insuffici...
Agricultural Inoculants Food Safety Bradyrhizobium Brazil Glycine max Quality Control
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Forecasting the spatiotemporal variability of soil CO emissions in sugarcane areas in southeastern Brazil using artificial neural networks.

Environmental monitoring and assessment Nov 21, 2018
Carbon dioxide (CO) is considered one of the main greenhouse effect gases and contributes significantly to global climate change. In Brazil, the agricultural areas offer an opportunity to mitigate this effect, especially with the sugarcane crop, sinc...
Atmosphere Greenhouse Effect Neural Networks, Computer Forecasting Brazil Soil Saccharum Agriculture Carbon Dioxide Environmental Monitoring Climate Change Carbon Gases
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