Scientific Research Publishing

Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity ()

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
SciTech Daily

The Surprising Things Scientists Are Learning About Diabetes Drugs and Cancer

Medications used to treat type 2 diabetes may influence cancer risk and progression through biological pathways that extend beyond blood sugar control. By affecting inflammation, immune responses, and ...
openaccessgovernment

Leveraging machine learning and robust small area estimation methods for stand-level forest inventory

This special report introduces small area estimation (SAE) as a modern approach for producing reliable, stand-level forest inventory information Small area estimation (SAE) is a set of statistical ...
Frontiers

Development and external validation of machine-learning based models to predict diabetic foot ulcer in diabetes population

Background: Diabetic foot ulcer (DFU) is a common and serious complication in patients with diabetes, which affects the quality of life greatly as well as brings high risk for mortality.
IEEE

Ensemble Machine Learning Methods for Diabetes Prediction using Class Imbalance Technique

Worldwide, millions of people are impacted by diabetes mellitus [1], a chronic metabolic illness. The inability of the body to create or effectively use insulin causes blood glucose levels to rise, ...
Frontiers

Enhanced risk prediction of femoral head osteonecrosis in the elderly: a comparative study of random forest and logistic regression models

Department of Orthopedics, Shanxi Bethune Hospital, Tongji Shanxi Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Taiyuan, China Background and aim: ...
Medical Xpress

Using genetics to predict who is at risk of developing type 1 diabetes could inform large-scale health studies

A test using genetics to predict who is at the highest risk of developing type 1 diabetes could one day be applied to large-scale health studies, to identify adults who could benefit from new drugs, ...
IEEE

Diabetes Prediction Using Ensembled Machine Learning Models

Abstract: Diabetes is a state in which the sugar level in the blood rises due to inadequate supply of insulin in the pancreas or inability of the body to use the insulin effectively. The situation in ...