AIMC Topic: Brazil

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Forewarning the seasonal dynamics of corn leafhopper and mollicutes through neural networks.

International journal of biometeorology Mar 21, 2025
The corn leafhopper (CL), Dalbulus maidis (DeLong & Wolcott) (Hemiptera: Cicadellidae), has become the most important corn pest in Brazil and other corn-producing countries. This highly efficient insect vector transmits corn stunting pathogens result...
Neural Networks, Computer Animals Brazil Plant Diseases Hemiptera Spiroplasma Phytoplasma Zea mays Weather Seasons
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Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study.

BMC pregnancy and childbirth Mar 19, 2025
BACKGROUND: Low birth weight (LBW) is a critical factor linked to neonatal morbidity and mortality. Early prediction is essential for timely interventions. This study aimed to develop and evaluate predictive models for LBW using machine learning algo...
ROC Curve Longitudinal Studies Infant, Low Birth Weight Gestational Age Risk Assessment Risk Factors Humans Brazil Young Adult Female Adult Algorithms Machine Learning Infant, Newborn Cohort Studies Pregnancy
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Capillariid diversity in archaeological material from the New and the Old World: clustering and artificial intelligence approaches.

Parasites & vectors Mar 12, 2025
BACKGROUND: Capillariid nematode eggs have been reported in archaeological material in both the New and the Old World, mainly in Europe and South America. They have been found in various types of samples, as coprolites, sediments from latrines, pits,...
Cluster Analysis Europe Biodiversity Animals Brazil Feces Archaeology Fossils Enoplida Infections Humans Artificial Intelligence
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Forecasting dengue across Brazil with LSTM neural networks and SHAP-driven lagged climate and spatial effects.

BMC public health Mar 12, 2025
BACKGROUND: Dengue fever is a mosquito-borne viral disease that poses significant health risks and socioeconomic challenges in Brazil, necessitating accurate forecasting across its 27 federal states. With the country's diverse climate and geographica...
Humans Neural Networks, Computer Forecasting Brazil Spatial Analysis Climate Dengue
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Machine learning models compared with current clinical indices to predict the outcome of high flow nasal cannula therapy in acute hypoxemic respiratory failure.

Critical care (London, England) Mar 7, 2025
BACKGROUND: Early identification of patients with acute hypoxemic respiratory failure (AHRF) who are at risk of failing high-flow nasal cannula (HFNC) therapy could facilitate closer monitoring, and timely adjustment/escalation of treatment. We aimed...
Hypoxia Oxygen Inhalation Therapy Cannula Female Humans ROC Curve Aged Middle Aged Machine Learning Respiratory Insufficiency Male Brazil Intensive Care Units
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A new approach to dilution prediction of underground mine gold using computing techniques.

Anais da Academia Brasileira de Ciencias Mar 3, 2025
Controlling ore dilution in underground mining is challenging. In this study, data from a Brazilian gold mine were analyzed, covering 70 chambers and 26 variables. Six key variables were identified through decision tree analysis, forming the basis of...
Machine Learning Decision Trees Gold Brazil Mining Environmental Monitoring
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Comparative analysis prediction of prostate and testicular cancer mortality using machine learning: accuracy study.

Sao Paulo medical journal = Revista paulista de medicina Feb 24, 2025
BACKGROUND: The mortality rates of prostate and testicular cancer are higher mortality in the northeast region.
Prostatic Neoplasms Humans Machine Learning Algorithms Male Brazil Testicular Neoplasms
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Leveraging artificial neural networks for optimizing Cinnamomum Sintoc essential oil production in Mount Ciremai.

Brazilian journal of biology = Revista brasleira de biologia Feb 14, 2025
Cinnamomum sintoc is a plant renowned for its production of high-quality essential oils. This study assessed the essential oil content in C. sintoc based on its morphological characteristics, environmental conditions, and soil nutrient composition. A...
Brazil Oils, Volatile Cinnamomum Neural Networks, Computer Soil
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Exploring the importance of clinical and sociodemographic factors on self-rated health in midlife: A cross-sectional study using machine learning.

International journal of medical informatics Feb 10, 2025
BACKGROUND: Self-rated health (SRH) is influenced by various factors, including clinical and sociodemographic characteristics. However, in the context of Brazil, we still lack a clear understanding of the relative importance of these factors and how ...
Humans Machine Learning Cross-Sectional Studies Male Diagnostic Self Evaluation Female Middle Aged Adult Health Status Brazil Self Report Socioeconomic Factors Sociodemographic Factors
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The external validity of machine learning-based prediction scores from hematological parameters of COVID-19: A study using hospital records from Brazil, Italy, and Western Europe.

PloS one Feb 4, 2025
The unprecedented worldwide pandemic caused by COVID-19 has motivated several research groups to develop machine-learning based approaches that aim to automate the diagnosis or screening of COVID-19, in large-scale. The gold standard for COVID-19 det...
Italy Middle Aged Brazil Europe Aged COVID-19 Adult Female Male Humans Reproducibility of Results Machine Learning SARS-CoV-2 Pandemics
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