Behavioral Risk Factor Surveillance System
PulseAugur coverage of Behavioral Risk Factor Surveillance System — every cluster mentioning Behavioral Risk Factor Surveillance System across labs, papers, and developer communities, ranked by signal.
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Cardiovascular screening model accuracy attributed to data leakage, not model type
A new study published on arXiv investigates the accuracy of cardiovascular screening models, revealing that reported high accuracy is primarily due to target leakage rather than the model's class. Researchers found that…
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Machine learning model identifies key risk factors for chronic kidney disease
Researchers have developed a machine learning framework to identify individuals at risk for chronic kidney disease (CKD). By analyzing data from large-scale telehealth surveys like the Behavioral Risk Factor Surveillanc…
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AI-assisted study finds psychosocial factors more linked to cognitive difficulty than environment
A new research paper published on arXiv explores the relationship between environmental factors and subjective cognitive difficulties. Using data from the All of Us Research Program, the study found that short-term envi…
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Machine learning models show bias in predicting Type 2 diabetes risk
A new study published on arXiv evaluates machine learning models for predicting Type 2 diabetes risk, finding that while models perform well internally, their effectiveness significantly decreases when applied to real-w…
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Deep Neural Networks Enhance Survey Estimation with Combined Data Sources
Researchers have developed a new framework using deep neural networks (DNNs) to combine probability and nonprobability survey samples for more robust estimation. The method models the sampling score of nonprobability sa…