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 ...

India Plans AI-Driven Predictive Surveillance For Pandemic Preparedness

India is preparing to shift from conventional 'detective-style' disease tracking to a forward-looking, predictive ...

From Prediction to Prescription: The Power of Merging Predictive Analytics with GenAI in Enterprises

Cygnet.One today outlined how enterprises are beginning to pair predictive analytics with Generative AI to address growing pressure for faster, more accountable decision making. The company noted a ...
CMSWire

If Your Experience Falters, Customer Loyalty Follows — Fast

Switching costs are zero. Expectations are high. Learn the strategies that stop churn and keep customers engaged for the long ...
IEEE

Predictive Analytics in Mental Health: Machine Learning Models for Major Depressive Disorder Detection using Sensor Data

Abstract: The recent integration of Machine Learning (ML) and sensor technologies in healthcare, particularly for diagnosing Major Depressive Disorder (MDD), has paved the way for advanced predictive ...
IEEE

Predictive Analytics for Human Resource Management: Enhancing Talent Acquisition and Retention Using Data analytics

Abstract: HRM depends on the output of predictive analytics by which the input achieves accurate data on employee hiring and retention. For enhancing the decision-making in the HR domain, this ...
Journal of Medical Internet Research

Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis

This study is the first to systematically evaluate the performance of ARDS prediction models based on multiple quantitative data sources. We compare the effectiveness of ML models via a meta-analysis, ...