AIMC Topic: Boosting Machine Learning Algorithms

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Exploring Ensemble Learning Techniques for Infant Mortality Prediction: A Technical Analysis of XGBoost Stacking AdaBoost and Bagging Models.

Birth defects research Feb 1, 2025
BACKGROUND: Infant mortality remains a critical public health issue, reflecting the overall health and well-being of a population. Accurate prediction of infant mortality is crucial, as it enables healthcare providers to identify at-risk populations ...
Humans Machine Learning Female Infant, Newborn Infant India Infant Mortality Ensemble Learning Boosting Machine Learning Algorithms
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Forecasting monthly runoff in a glacierized catchment: A comparison of extreme gradient boosting (XGBoost) and deep learning models.

PloS one Jan 1, 2025
Accurate monthly runoff forecasting is vital for water management, flood control, hydropower, and irrigation. In glacierized catchments affected by climate change, runoff is influenced by complex hydrological processes, making precise forecasting eve...
Forecasting Deep Learning Models, Theoretical Switzerland Climate Change Boosting Machine Learning Algorithms
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Residual XGBoost regression-Based individual moving range control chart for Gross Domestic Product growth monitoring.

PloS one Jan 1, 2025
Accurate and reliable Gross Domestic Product (GDP) forecasting is indispensable for informed economic policymaking and risk management. Autocorrelation, a prevalent characteristic of macroeconomic time series, poses significant challenges to traditio...
Humans Machine Learning Algorithms Forecasting Regression Analysis Gross Domestic Product Boosting Machine Learning Algorithms
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The Diagnosis of Cardiovascular Disease Using Simple Blood Biomarkers Through AI and Big Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Cardiovascular disease (CVD) is the leading cause of global mortality, diagnosed primarily through costly imaging modalities which are often overused in asymptomatic patients. Our project aims to develop an AI-based solution for CVD risk stratificati...
Humans Biomarkers Female Male Middle Aged Risk Assessment Big Data Random Forest Heart Disease Risk Factors Boosting Machine Learning Algorithms UK Biobank
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