The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

For predicting relapse in 1,387 patients with early-stage (I-II) NSCLC from the Spanish Lung Cancer Group data (average age 65.7 years, female 24.8%, male 75.2%), we train tabular and graph machine ...

1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...

Machine learning has been used for a wide range of tasks such as speech recognition, fraud detection, product recommendations, image recognition and personalized medicine — nevertheless, its ...

This study demonstrates that it is possible to generate a highly accurate model to predict inpatient and emergency department utilization using data on socioeconomic determinants of care. Objectives: ...

Researchers have created a computational model to predict the growth of deadly brain tumors more accurately. Researchers at the University of Waterloo have created a computational model to predict the ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk. Subscribe ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

In a recent study published in JAMA Network Open, researchers developed and validated four machine learning (ML) models on a dataset comprising more than 30,000 participants to identify a novel ML ...

After a hurricane passes, scientists routinely analyze the assorted computer models used to predict its path and power and ...