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Music training may buffer children against the academic toll of poverty

A recent analysis of a major developmental dataset reveals that children who play musical instruments over several years ...
BMJ Open

Development and evaluation of a diagnostic aiding tool for differentiating tropical fevers using artificial intelligence approach: a study protocol from tertiary care hospital ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
IEEE

An Improved Bagging of Machine Learning Algorithms to Predict Motif Structures From Protein-Protein Interaction Networks

Abstract: Protein-protein interaction (PPI) networks play a vital role in the functional organization of cellular systems. Recurring subgraph patterns with these networks, known as motif structures, ...
IEEE

Machine Learning Based Prediction of Cardiovascular Disease Using KNN and SVM Algorithms

Abstract: Cardiovascular diseases are a significant reason of suffering and several healthy years of lives lost as well as deaths in the world at large. There is the possibility of significantly ...
Frontiers

Postpartum depression risk prediction using explainable machine learning algorithms

1 Department of Science and Education, Shenyang Maternity and Child Health Hospital, Shenyang, China 2 Department of Maternal, Child and Adolescent Health, School of Public Health, Shenyang Medical ...
GitHub

Prediction of stroke using Support Vector Machine (SVM) and Decision Tree (DTREE).

The stroke deprives person's brain of oxygen and nutrients, which can cause brain cells to die. Numerous works have been carried out for predicting various diseases by comparing the performance of ...
Live Science

'Quantum AI' algorithms already outpace the fastest supercomputers, study says

Researchers have successfully demonstrated quantum speedup in kernel-based machine learning. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.
Frontiers

Migraine triggers, phases, and classification using machine learning models

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...
Scientific Research Publishing

Machine Learning-Based Classification of Coronary Heart Disease: A Comparative Analysis of Logistic Regression, Random Forest, and Support Vector Machine Models ()

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...