Northwestern University biophysicists have developed a new computational tool for identifying the gene combinations ...

Roche and IBM announced the development of an AI-enabled solution to predict glucose levels through continuous glucose ...

A breakthrough AI system could transform millions of lives—and reshape an entire industry worth more than most countries' GDP In an era where healthcare costs are bankrupting families and overwhelming ...

Researchers say the smartphone app could empower patients to better understand their disease and make disease management ...

Machine learning (ML), a ... and implementation of a risk prediction computer model based on a NN algorithm. Data for the meta-analysis of EC patients with the risk factors were taken from National ...

Abstract: The most frequent type of calamity is flooding, which happens when water overflows and submerges normally dry terrain. Flood prediction models, which are typically based on historic data and ...

A web application that predicts a person's diabetes status using a machine learning model. Built with Django and trained on the Pima Indian Diabetes dataset.

A major international research effort is now underway in the Netherlands and the US to get a real handle on hydrogen emissions in the real world—using some seriously cutting-edge tech and techniques.

The use of these techniques generates a dataset for measuring the accuracy of diabetes status prediction. The Neural Networks algorithm achieves an accuracy rate of 79.65%, the SVM algorithm 83.69%, ...

enabling real-time predictions with minimal effort. Additionally, Azure ML supports CI/CD pipelines, allowing for automated testing, versioning, and deployment of models using MLOps best practices.

Analysis of ML Models: Performed in-depth analysis of the models in terms of algorithms, techniques, components of the systems, and their merits and demerits alongside real-world applications ...