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 ...
Journal of Medical Internet Research

Using Machine Learning Methods to Predict Early Treatment Outcomes for Multidrug-Resistant or Rifampicin-Resistant Tuberculosis to Enhance Patient Cure Rates: Development and ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...
IEEE

Decoding Departure: Advanced Machine Learning and Ensemble Fusion for Employee Attrition Prediction

Abstract: Employee attrition prediction plays a key role in strategic workforce planning. This study presents an improved machine-learning framework that combines engineered feature interactions with ...
Reuters

Exclusive: Meta to start capturing employee mouse movements, keystrokes for AI training data

NEW YORK, April 21 (Reuters) - Meta (META.O), opens new tab is installing new tracking software on U.S.-based employees’ computers to capture mouse movements, clicks and keystrokes for use in training ...
Forbes

14 AI-Powered Employee Onboarding Strategies Agencies Are Using Now

Custom AI tools are reshaping employee onboarding into a smoother, faster, more immersive experience for new agency hires, embedding institutional knowledge directly into day-to-day workflows. For ...
GitHub

Bank Customer Churn Prediction.csv

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IEEE

Data-Driven Prediction of Employee Attrition using Different Machine Learning Classifiers

Abstract: Effective human resource management (HRM) is essential to attaining organisational success in the highly competitive business environment of today. One of the major challenges HR faces is ...