A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...

2) The Oral Glucose Tolerance Test (OGTT) evaluates blood sugar levels two hours post-consumption of a 75 g glucose solution.

A new machine learning tool can reduce errors in national flood prediction programming, resulting in more accurate ...

(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...

AI in drug discovery Artificial intelligence is rapidly transforming the way new drugs and therapeutic targets are discovered in cancer immunology.

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

Abstract: This study introduces a novel hybrid ensemble approach for enhanced diabetes prediction, combining the strengths of an Extreme Learning Machine (ELM), a Long Short-Term Memory (LSTM) network ...

The final, formatted version of the article will be published soon. Objective: To develop a self-reportable risk assessment tool for elderly type 2 diabetes mellitus (T2DM) patients, evaluating risks ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.