Government Technology

Using Machine Learning to Understand College Closures

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
ascopubs.org

Predictive modeling by tumor type: Comparing performance and feature importance of machine learning–based predictive models in patients with hematologic and solid tumors.

Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.
ascopubs.org

Machine-learning (ML) model predictive for chemotherapy toxicity and termination in a real-world community oncology practice.

Dynamic prediction of cancer-associated thrombosis to guide prophylactic anticoagulation. Age distribution of metastatic cancer patients and chemotherapy discontinuation rates.
The American Journal of Managed Care

Machine Learning Predicts Hyperglycemia Risk in Psoriasis

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
Yale Environment 360

A step toward clinically useful brain-behavior machine learning models

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...
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 ...
Devdiscourse

Food industry turns to machine learning to boost efficiency, cut waste and improve quality

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...