Higher blood glucose levels linked to faster brain aging

The human brain is known to naturally change with age, shrinking in size and volume after people reach their 30s or 40s. In ...
Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...
Neuroscience News

LLMs and Math Combine to Map Human Decision-Making

A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.
IEEE

Machine Learning Approaches for Loan Default Prediction: A Comparative Analysis of Random Forest and KNN Algorithms

One of the key issues faced by financial institutions is the prediction of loan default. Two machine learning methods, Random Forest and K-Nearest Neighbors (KNN), are tested in this study, using an ...
hcinnovationgroup

EHR-Based Prediction Model Identifies Diabetes Risk

An electronic health record-based prediction model successfully identified patients who were at the highest risk of developing type 2 diabetes up to 10 years later. Researchers from Kaiser Permanente ...
IEEE

Application of LightGBM, Random Forest, and Decision Tree Algorithms for Debt Collector Performance Assessment in the Financial Industry in Indonesia

Abstract: The performance of debt collectors is a crucial aspect in maintaining the financial stability of financial services institutions, but the assessment of their performance is often still ...