Becker's Hospital Review

Using Predictive Modeling to Create a Successful ACO

“Predictive modeling uses regression analysis to project forward and try to predict future health events,” says Dr. Orr. When using predictive modeling, “the quality of data and the size of the data ...
TMCnet

Kumo Launches KumoRFM-2, the First Foundation Model to Outperform Machine Learning on Enterprise Data, Scaling to 500 Billion Rows

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...
Analytics Insight

Industry Expert Bhargav Chebrolu Builds Predictive Models That Decision Makers Can Actually Use

A logistics analyst and research innovator, turning operational data into forecasts that teams can trustAnalytics breaks down ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
ascopubs.org

Development and Validation of a Predictive Model of Severe Fatigue After Breast Cancer Diagnosis: Toward a Personalized Framework in Survivorship Care

Indication-Specific Generic Uptake of Imatinib Demonstrates the Impact of Skinny Labeling Participants with stage I-III breast cancer were prospectively included from CANTO (ClinicalTrials.gov ...
The American Journal of Managed Care

Preventing Patient Absenteeism: Validation of a Predictive Overbooking Model

Electronic health record data can be used to predict patient absenteeism accurately. Predictive overbooking of missed appointments can significantly increase service utilization. ABSTRACTObjectives: ...