News Medical

Combining machine learning with statistical methods can provide accurate models for disease risk prediction

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
Inside Higher Ed

Report: Predictive Models May Have Bias Against Black and Hispanic Learners

You have /3 articles left. Sign up for a free account or log in. Predictive models are used across the student life cycle in higher education, to gauge yield in ...
ascopubs.org

External Validation and Update of the Risk Prediction Model for Denosumab-Induced Hypocalcemia Developed From a Hospital-Based Administrative Database

Real-World Outcomes in Patients With Metastatic Renal Cell Carcinoma Treated With First-Line Nivolumab Plus Ipilimumab in the United States Denosumab is widely used in the treatment of bone metastases ...
Hosted on MSN

Forecast models raise odds of a strong El Niño later this year

NOAA’s Climate Prediction Center released its latest ENSO Diagnostic Discussion on March 12, noting a transition from La Niña conditions and increasing odds that El Niño will develop later this year.
Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...