Machine Learning For High-risk Applications

National Academies of Sciences%2c Engineering%2c and Medicine: Making Machine Learning Safer in High-Stakes Settings

The American Journal of Managed Care: Machine Learning May Enable Earlier Detection of CKD Risk Factors

Medical Xpress: A machine learning model may enable liver cancer risk prediction with routine clinical information

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

A machine learning model may enable liver cancer risk prediction with routine clinical information

Tech Xplore on MSN: Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks

Medical Xpress on MSN: Predicting genetic risk for type 1 diabetes just got more accurate thanks to machine learning study

Predicting genetic risk for type 1 diabetes just got more accurate thanks to machine learning study

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ascopubs.org: Machine Learning–Driven Risk Stratification and Adjuvant Treatment Guidance in Oral Cavity Cancer

Machine Learning–Driven Risk Stratification and Adjuvant Treatment Guidance in Oral Cavity Cancer

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Science Daily: Machine learning model helps identify patients at risk of postpartum depression

A new machine learning tool called T1GRS accurately predicts the genetic risk of developing Type 1 diabetes in both children and adults. (iStock/Halfpoint) A new machine learning tool called T1GRS ...

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