Jumping into the deep end of my NCAA pool with AI

ChatGPT ran 50,000 tournament simulations, weighed efficiency ratings, coaching tendencies, and upset history — then asked me ...
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...
Analytics Insight

10 Must-Know Machine Learning Algorithms for Data Science in 2026

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...
Journal of NeuroInterventional Surgery

Medical and endovascular treatment for acute large vessel occlusion with mild stroke: a real-world nationwide registry

Background Endovascular therapy (EVT) is standard treatment for large vessel occlusion in patients with a National Institutes ...
BMJ

Estimating prevalence and predictors of glucose-lowering overtreatment among older adults with type 2 diabetes in long-term care and community settings: a machine learning ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...
Devdiscourse

Stacked AI model improves credit default forecasting

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
Frontiers

Antenatal prediction of small for gestational age at birth based on four birthweight standards using machine learning algorithms

Accurate antenatal prediction of SGA at birth is essential to improve development and delivery of preventative and therapeutic interventions. This study aimed to assess the performance of machine ...
Scientific Research Publishing

Rajendra, P. and Latifi, S. (2021) Prediction of Diabetes Using Logistic Regression and Ensemble Techniques. Computer Methods and Programs in Biomedicine Update, 1, Article 100032.

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
Frontiers

Risk prediction and clinical utility analysis of postoperative pancreatic fistula: a comparative study of multivariable logistic regression and random forest models

Department of Hepatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China Objective: Compare the performance of the Multivariable logistic ...