The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
AZoBuild on MSN

Recycling Rice Husks: ML Models Pinpoint Best Blend for Stronger Concrete

The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...

AI Wearables Predict Seizures, Cardiac Risks Early: Doctors Share Safe Use Tips

AI-enabled wearables are transforming preventive health by detecting abnormal heart rhythms, seizure-risk patterns and stress ...
IEEE

Improvement of Machine Learning Algorithms with Hyperparameter Tuning on Various Datasets

Abstract: The rapid growth of data in the digital era has made classification techniques a critical component of machine learning, particularly in supervised learning methods. These techniques enable ...
IEEE

A Suicidal Ideation Detection Framework on Social Media Using Machine Learning and Genetic Algorithms

Suicide is a serious problem that affects modern societies all over the world, and its prevention is critical. Suicidal ideas are influenced by a variety of risk factors, such as depression, anxiety, ...