Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed

Z Shaukat, W Zafar, W Ahmad, IU Haq, G Husnain… - Healthcare, 2023 - mdpi.com
The intricate and multifaceted nature of diabetes disrupts the body's crucial glucose
processing mechanism, which serves as a fundamental energy source for the cells. This …

Automated Diagnosis of Diabetes Mellitus Based on Machine Learning

M Edida, NJ Lakshmi, N Jabalia - Artificial Intelligence and Machine …, 2021 - Springer
According to the ninth edition of IDF Diabetes Atlas 2019, the worldwide prevalence of
diabetes mellitus in 2019 was 463 million and has been estimated to escalate to 700 million …

Analyzing three predictive algorithms for diabetes mellitus against the pima Indians dataset

A Darolia, RS Chhillar - ECS Transactions, 2022 - iopscience.iop.org
Diabetes mellitus is a metabolic disease in which the pancreas fails to produce enough
insulin required for the processing of blood glucose. Most medical institutions analyze …

Multi-Algorithm to Measure the Accuracy Level of Diabetes Status Prediction

Z Zulkifli, FA Makkiyah, D Antoni, F Fitriana… - Journal of Applied …, 2024 - bright-journal.org
Poor management of diabetes leads to damage in organs and body tissues, impacting
crucial organs like the heart, kidneys, eyes, and nerves. Although there is no permanent …

Prediction of diabetes mellitus: comparative study of various machine learning models

A Hussain, S Naaz - … and Communications: Proceedings of ICICC 2020 …, 2021 - Springer
Diabetes is a common metabolic-cum-endocrine disorder in the world today. It is generally a
chronic problem where either the pancreas does not produce an adequate quantity of …

Diabetes diagnosis using machine learning

B Farajollahi, M Mehmannavaz, H Mehrjoo… - Frontiers in Health …, 2021 - ijmi.ir
Introduction: Diabetes is a disease associated with high levels of glucose in the blood.
Diabetes make many kinds of complications, which also leads to a high rate of repeated …

The Utilization of Machine Learning Algorithms for Assisting Physicians in the Diagnosis of Diabetes

LP Nguyen, DD Tung, DT Nguyen, HN Le, TQ Tran… - Diagnostics, 2023 - mdpi.com
This paper investigates the use of machine learning algorithms to aid medical professionals
in the detection and risk assessment of diabetes. The research employed a dataset gathered …

Diabetes disease through machine learning: A comparative study

G Marques, IM Pires, NM Garcia - Proceedings of the 2020 4th …, 2020 - dl.acm.org
Diabetes is a critical problem in developed and developing countries. The early detection of
this disease is crucial for efficient and effective treatment. Moreover, the application of …

Early Prediction of Diabetes Disease Based on Data Mining Techniques

SN Elsadek, LS Alshehri, RA Alqhatani… - … Intelligence in Data …, 2021 - Springer
As a common yet chronic disease, Diabetes Mellitus (DM) affects millions of people all over
the world. Some groups are more vulnerable to diabetes in comparison to others, such as …

Data mining techniques for early diagnosis of diabetes: a comparative study

L Chaves, G Marques - Applied Sciences, 2021 - mdpi.com
Diabetes is a life-long condition that is well-known in the 21st century. Once known as a
disease of the West, the rise of diabetes has been fed by a nutrition shift, rapid urbanization …