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 ...
IoT Tech News

The federated computing platform that keeps your data secure

The federated computing platform Rhino FCP's Chris Laws in conversation with IoT Technology News, about the problem of ...
IEEE

A Comparative Study of Machine Learning Models for Breast Cancer Diagnosis Using the Wisconsin Diagnostic Dataset

Abstract: Accurate and interpretable diagnostic models are vital for early detection of breast cancer. This paper presents a comparative analysis of five classifiers Logistic Regression (LogReg), ...
Frontiers

An explainable machine learning model predicts pediatric varicella encephalitis

Pediatric varicella encephalitis is a rare but serious complication of varicella, which has a significant impact on patient prognosis. Early clinical diagnosis is still challenging due to atypical ...
IEEE

Improving Graph Embeddings in Machine Learning Using Knowledge Completion with Validation in a Case Study on COVID-19 Spread

Abstract: The rise of graph-structured data has driven major advances in Graph Machine Learning (GML), where graph embeddings (GEs) map features from Knowledge Graphs (KGs) into vector spaces, ...