IEEE

Fetal Health Classification Using Machine Learning on Cardiotocography Data

Abstract: This study explores a machine learning approach for detecting and classifying fetal health which is a crucial aspect in ensuring proper care and wellbeing of both fetus and the mother. The ...
How-To Geek on MSN

I thought you needed advanced math to build machine learning models, but I was wrong

Machine learning sounds math-heavy, but modern tools make it far more accessible. Here’s how I built models without deep math ...
IEEE

Implementation a Multi-Fault Diagnosis System for Three-Phase Induction Motors Using Machine Learning Techniques

Abstract: Induction motors (IMs) have been a cornerstone in industrial applications for decades due to their robustness, reliability, and efficiency. However, as the reliance on these motors has ...
Journal of Medical Internet Research

Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data

Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...