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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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…