A Comprehensive Analysis of Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian Screening Scores for Diabetes Risk Assessment and Prediction

NL Fitriyani, M Syafrudin, SM Ulyah, G Alfian… - Mathematics, 2022 - mdpi.com
Risk assessment and developing predictive models for diabetes prevention is considered an
important task. Therefore, we proposed to analyze and provide a comprehensive analysis of …

Credit Scoring for Loan Applicants Using Machine Learning Models

KS Krishna, BD Kumar, MD Reddy… - 2023 4th …, 2024 - ieeexplore.ieee.org
This study presents a comprehensive framework for credit scoring in loan application
processes. The research presents a framework that uses data analysis and machine …

An overview of new trends on deep learning models for diabetes risk prediction

K Verma, M Sundararajan, N Chandnani… - … for Type I and Type II …, 2024 - Elsevier
Health is wealth. Consequently, each obligation is like a good existence and retains his
figure well and concentration contented. Extrapolation of a little disease at an initial phase …

Enhancing Predictive Analytics Through Hybrid Machine Learning Models: A Comparative Analysis Of SVM-NB And Lasso-Ridge Techniques

AS Abdullah, U Mishra, K Akash, A Ravi… - 2024 Second …, 2024 - ieeexplore.ieee.org
During the moment of data-driven decision-making, effective classification algorithms play a
major part in different areas. This study showcases a comparative analysis of Support Vector …

[PDF][PDF] PREDICTING EARLY STAGE DIABETES BY A NEURAL NETWORK CONTAINING MORE THAN ONE HIDDEN LAYER

F Khalel, NTA Ramaha - … /HONORARY CHAIRMAN Prof. Dr. İdris DEMİR - researchgate.net
Diabetes is a chronic, non-communicable disease and one of the leading causes of
worldwide death. Every day, there are new infections with this disease, and its increasing …

[引用][C] IMPROVE DIABETES DIAGNOSIS BY INTEGRATING MULTIPLE MACHINE LEARNING ALGORITHMS