The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
FedScoop

DOJ ramps up AI for legal work, crime predictions, surveillance, inventory shows

The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...
Journal of Medical Internet Research

Development and Validation of a Web-Based Machine Learning Model for Predicting Early Neurological Deterioration Following Stroke Thrombolysis: Multicenter Study

We systematically evaluated 27 clinical parameters using multiple machine learning algorithms to develop ENDRAS, a prediction model based on six readily available clinical variables. Model performance ...
IEEE

Machine learning based prediction of burglary crime probability

Abstract: Crime and illegal behavior constitute a threat to the construction of a harmonious society and need to be effectively controlled. In today’s information age, the use of computers for ...
IEEE

Predicting Diabetes Mellitus Based on the Number of Pregnancies Using Machine Learning Algorithms

Abstract: Diabetes Mellitus (DM) a chronic metabolic disorder that, when present in pregnancy, may lead to serious complications for both mother and infant. Early identification of DM risk in ...