BMJ Open

Clinical characteristics and outcomes of patients with type 2 diabetes mellitus and chronic kidney disease from two new-user medication cohorts: a retrospective cohort study ...

Objectives Given the rapidly evolving therapeutic landscape for type 2 diabetes (T2D) and chronic kidney disease (CKD), this study aimed to characterise the clinical profiles and real-world outcomes ...
IEEE

Data Fusion in Tele-Rehabilitation: Combining Cognitive and Motor Datasets to Train a Machine Learning Model for Assessing Patients' Outcomes

Abstract: This study explores the application of data fusion (DF) in tele-rehabilitation (TR). The idea is to combine the patient's cognitive and motor information captured during remote sessions ...
Frontiers

XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy

Purpose: Thyroid ultrasound is a primary tool for screening thyroid nodules (TNs), but existing risk stratification systems have limitations. Nowadays, machine learning (ML) offers advanced ...