techtarget

4 types of machine learning models explained

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...
BIOENGINEER

Predicting the incidence of type 2 diabetes using FINDRISC and machine learning approaches: evidence from a population-based cohort

In a population-based cohort of 8,859 adults followed for six years, component-level machine learning models showed higher observed AUCs than the FINDRISC score for predicting incident type 2 ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
BIOENGINEER

Linear Support Vector Machine Accurately Identifies Abnormal Bone Density in Diabetic Patients

A retrospective study demonstrates that a linear support vector machine analyzing first lumbar vertebra radiomic features from routine non-contrast chest CT scans accurately screens for abnormal bone ...
BizTech

What Are the Benefits of Unsupervised Machine Learning and Clustering?

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...