A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Objective: This study provides a comprehensive threat analysis of data poisoning vulnerabilities across major health care AI architectures. The goals are to (1) identify attack surfaces in clinical AI ...
Abstract: Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of ...
The Trump administration’s move to give deportation officials access to Medicaid data is putting hospitals and states in a bind as they weigh whether to alert immigrant patients that their personal ...
Please provide your email address to receive an email when new articles are posted on . Burden was assessed in those diagnosed with hypereosinophilic syndrome (HES) and those predicted to have the ...
WASHINGTON — Health and Human Services Secretary Robert F. Kennedy Jr. joined forces with his cousin and former Democratic congressman Patrick Kennedy on Monday to announce a new addiction and mental ...
The prediction of patient care costs is essential in supporting hospital financial planning and enhancing service transparency. This practical work report presents the development of a cost prediction ...
Ant Group’s AI chatbot, Ant Afu, gained 30 million users seeking personalized health care. The app integrates medical appointments, test analysis, and insurance payments within Alipay’s ecosystem. Ant ...
Paying for health care has become Americans' top financial worry after Congress failed last year to extend some Affordable Care Act subsidies, triggering premium spikes for millions, a new survey ...
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