Morning Overview on MSN

Many AI disease-risk models trained on flawed health data

Somewhere on Kaggle, the open data platform where anyone can upload a spreadsheet and call it a dataset, two files labeled as ...

Machine learning tool pinpoints optimal locations for tree planting, offering a powerful tool for climate mitigation

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...
Frontiers

Artificial Intelligence and Predictive Analytics in Diabetes Care

Artificial intelligence and machine learning are reshaping diabetes prevention, diagnosis, and management across the care continuum. Continuous glucose ...
Nature

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
Oncology Nurse Advisor

Machine Learning Model Can Predict Hepatocellular Carcinoma Risk

Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.
IEEE

The Effect of Sampling on Diabetics Prediction Using Machine Learning

Abstract: Diabetes is a long-term health problem that happens when the sugar level in the blood becomes higher than normal. This usually occurs because the body does not make enough insulin, a hormone ...
iaea.org

New IAEA Research Project Uses Machine Learning to Better Predict Polymer Changes under Radiation

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...
IEEE

Diabetes Prediction using Machine Learning Algorithms with Feature Selection and Dimensionality Reduction

Abstract: In today's world diabetes has become one of the most life threatening and at the same time most common diseases not only in India but around the world. Diabetes is seen in all age groups ...