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 ...

The evaluation of retinal images using an algorithm based on deep machine learning can improve early detection and ... More than 285 million people have diabetes and over one-third have signs ...

SVM and kNN exemplify several important trade-offs in machine learning (ML). SVM is often less computationally demanding than kNN and is easier to interpret, but it can identify only a limited set ...

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.

An artificial intelligence machine learning model may be able to control an automated insulin delivery system just as well as a traditional algorithm. Image: Adobe Stock ...

The same type of machine learning methods used to pilot self-driving cars and beat top chess players could help type-1 diabetes sufferers keep their blood glucose levels in a safe range.

Study: Machine learning for predicting hepatitis B or C virus infection in diabetic patients.Image Credit: LALAKA/Shutterstock.com. Background. Diabetes mellitus (DM) has been deemed to be one of ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...