The Lancet

A predictive atlas of disease onset from retinal fundus photographs: a modelling study using data from population-based cohorts

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...
StudyFinds on MSN

AI map ranks US states by socioeconomic flu vulnerability

In A Nutshell Researchers used a machine learning model to rank all 50 U.S. states and Washington, D.C. by socioeconomic vulnerability to flu-like illness, finding wide regional variation in risk.
IEEE

An Explainable Ai Model for Diabetes Prediction Using Random Forest

Abstract: Diabetes is a chronic metabolic disorder caused by insufficient insulin production or ineffective insulin utilization, resulting in elevated blood glucose levels. As a major global health ...
The Lancet

Prediction models for high-grade cervical lesions or worse using machine learning

aDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77, Stockholm, Sweden bCenter for Cervical Cancer Elimination, Department of Clinical Science, Intervention and ...
GitHub

SDN-Based DDoS Detection and Mitigation with Machine Learning

┌─────────────────────────────────┐ │ Application Layer │ │ Random Forest Classifier │ │ 10 flow features · Scaler ...
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 ...