[HTML][HTML] A systematic review on diabetic retinopathy detection and classification based on deep learning techniques using fundus images

D Bhulakshmi, DS Rajput - PeerJ Computer Science, 2024 - peerj.com
Diabetic retinopathy (DR) is the leading cause of visual impairment globally. It occurs due to
long-term diabetes with fluctuating blood glucose levels. It has become a significant concern …

[HTML][HTML] Bio-inspired machine learning approach to Type 2 Diabetes Detection

M Al-Tawil, BA Mahafzah, A Al Tawil, I Aljarah - Symmetry, 2023 - mdpi.com
Type 2 diabetes is a common life-changing disease that has been growing rapidly in recent
years. According to the World Health Organization, approximately 90% of patients with …

Machine Learning in Healthcare Analytics: A State-of-the-Art Review

S Das, SP Nayak, B Sahoo, SC Nayak - Archives of Computational …, 2024 - Springer
The use of machine learning (ML) models have become a crucial factor in the growing field
of healthcare, ushering in a new era of medical research and diagnosis. This study …

[HTML][HTML] Pediatric diabetes prediction using deep learning

AES El-Bashbishy, HM El-Bakry - Scientific Reports, 2024 - nature.com
This study proposed a novel technique for early diabetes prediction with high accuracy.
Recently, Deep Learning (DL) has been proven to be expeditious in the diagnosis of …

[HTML][HTML] Revolutionizing Early Disease Detection: A High-Accuracy 4D CNN Model for Type 2 Diabetes Screening in Oman

K Al Sadi, W Balachandran - Bioengineering, 2023 - mdpi.com
The surge of diabetes poses a significant global health challenge, particularly in Oman and
the Middle East. Early detection of diabetes is crucial for proactive intervention and improved …

A comparative study of diabetes detection using the Pima Indian diabetes database

A MOUSA, W MUSTAFA, RB MARQAS… - Journal of Duhok …, 2023 - journal.uod.ac
The accurate detection of diabetes plays a critical role in early intervention and effective
management of the disease. In recent years, deep learning models have shown great …

iDP: ML-driven diabetes prediction framework using deep-ensemble modeling

A Kumar, S Bawa, N Kumar - Neural Computing and Applications, 2024 - Springer
This paper presents an intelligent healthcare framework by incorporating modern computing
technologies like machine learning and deep learning. The sole motivation of this paper is to …

Machine and deep learning techniques for the prediction of diabetics: a review

SKS Modak, VK Jha - Multimedia Tools and Applications, 2024 - Springer
Diabetes has become one of the significant reasons for public sickness and death in
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …

[HTML][HTML] A novel hybrid deep learning model for early stage diabetes risk prediction

MA Bülbül - The Journal of Supercomputing, 2024 - Springer
Diabetes is a prevalent global disease that significantly diminishes the quality of life and can
even lead to fatalities due to its complications. Early detection and treatment of diabetes are …

In-Depth Exploration and Comparison of Machine Learning Performances for Early-Stage Diabetes Risk Prediction

NKC Pratiwi - JURNAL INFOTEL, 2024 - ejournal.ittelkom-pwt.ac.id
Diabetes mellitus is distinguished by an inability of the human system to produce insulin on
an ongoing basis, as well as by the inefficient utilization of the insulin hormone, resulting in …