Researchers created a machine-learning–based model to help predict which patients will develop diabetes, according to an abstract to be published in the Journal of the Endocrine Society.

Using advanced machine learning models, researchers in China were able to accurately predict incidence of gestational diabetes among pregnant women during their first trimester. GDM affects up to ...

Segar, M, Vaduganathan, M et al. Machine Learning to Predict the Risk of Incident Heart Failure Hospitalization Among Patients With Diabetes: The WATCH-DM Risk Score. Diabetes Care , 2019 DOI: 10. ...

Using machine learning, the researchers could draw up a blood lipid profile in group A based on the concentration of 77 lipid molecules linked to the risk of developing type 2 diabetes later in life.

How Machine Learning Is Helping Us Predict Heart Disease and ... by preventing hospitalizations in cases of just two widespread chronic illnesses — heart disease and diabetes — the United ...

The investigators used machine-learning methods capable of handling multidimensional data to determine the top-performing predictors of heart failure. Over the course of almost five years, 319 ...

WASHINGTON — Research presented at ASN Kidney Week suggested a machine learning model that combines blood biomarkers and electronic health record data performed better in predicting rapid kidney ...