Scientific Research Publishing

Analysis of Decision Support Systems (DSS) Integration with AI Using Mobile Health (m-Health) and Wearables ()

Smart health refers to the integration of cutting-edge technologies into healthcare systems to improve patient care and apply intelligent clinical decision-making. The study investigates how ...
BMJ

Development and validation of a machine learning-based prediction model for frailty in older adults with diabetes: a study protocol for a retrospective cohort study

Introduction Frailty is a common condition in older adults with diabetes, which significantly increases the risk of adverse health outcomes. Early identification of frailty in this population is ...
Frontiers

Advanced Supervised Machine Learning Techniques for Accurate Prediction of Diabetes Mellitus Using Feature Selection

The final, formatted version of the article will be published soon. Background): Diabetes Mellitus (DM) is a chronic metabolic disorder that poses a significant global health challenge, affecting ...
IEEE

Machine Learning-Based Diabetes Risk Prediction Using Random Forest and Streamlit Interface

Abstract: This project focuses on developing an efficient, and user-friendly diabetes mellitus checkup application powered by machine learning. The application is designed to offer a simple and ...
Frontiers

Development and validation of machine learning-based diagnostic models using blood transcriptomics for early childhood diabetes prediction

Background: Early identification of Type 1 Diabetes Mellitus (T1DM) in pediatric populations is crucial for implementing timely interventions and improving long-term outcomes. Peripheral blood ...
Scientific Research Publishing

An Empirical Analysis on Renewable Energy: Biogas Production Prediction Using Machine Learning ()

1 Computer Science and Engineering, World University of Bangladesh, Dhaka, Bangladesh. 2 Business Analytics, International American University, California, USA. 3 ...
IEEE

Diabetes prediction based on risk factors and associated diseases using ensemble machine learning

Abstract: The aim of this research is to develop a predictive model for diabetes based on risk factors and associated diseases using ensemble machine learning. The problem addressed in this research ...