An intelligent diabetes classification and perception framework based on ensemble and deep learning method

QW Khan, K Iqbal, R Ahmad, A Rizwan, AN Khan… - PeerJ Computer …, 2024 - peerj.com
Sugar in the blood can harm individuals and their vital organs, potentially leading to
blindness, renal illness, as well as kidney and heart diseases. Globally, diabetic patients …

Evaluating the performance of an AI-powered VBAC prediction system within a decision-aid birth choice platform for shared decision-making

CC Yang, CF Wang, WM Lin, SW Chen… - Digital Health, 2024 - journals.sagepub.com
Background Vaginal birth after cesarean (VBAC) is generally regarded as a safe and viable
birthing option for most women with prior cesarean delivery. Nonetheless, concerns about …

Artificial Intelligence-Based Healthcare Data Analysis Using Multi-perceptron Neural Network (MPNN) Based On Optimal Feature Selection

MW Raja - SN Computer Science, 2024 - Springer
In the healthcare industry, early identification of diabetes is a critical task to safeguard
human life. Many individuals suffer the consequences of undetected diabetes due to the lack …

Smart System for Predicting the Diabetes using Machine Learning Techniques

S Alagarsamy, P Muthuvel, KVS Kumar… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Diabetes needs to be managed constantly because it is a chronic and complicated medical
illness. The importance of creating cutting-edge solutions to aid in the management of this …

An Efficient Deep Learning Technique for Diabetes Classification and Prediction Based on Indian Diabetes Dataset

P Singh, S Silakari, S Agrawal - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Diabetes is a chronic metabolic disorder that affects millions of people worldwide, and early
diagnosis and effective prediction of this disease are crucial for its management and …

An Evaluation of Authentication Technologies for Web-Based Wireless Network security

A Deshpande, M Mishra, T Joshi… - … on Power Energy …, 2023 - ieeexplore.ieee.org
Technical details about the assessment of Authentication technology for internet-based
totally wireless community protection thesis the thesis on “An evaluation of Authentication …

Comparison of Diabetes Disease Classification Models Using Logistic Regression and Random Forest Algorithms

AM Siregar, S Faisal, AR Pratama - Faktor Exacta, 2024 - journal.lppmunindra.ac.id
Diabetes is a lifelong chronic disease that disrupts blood sugar regulation. Diabetes is a life-
threatening condition that, if left untreated, can lead to death and other health problems …

Diabetes Prediction Using Machine Learning Classifiers

D Choudhary, P Gupta, S Gupta - International Conference on Machine …, 2023 - Springer
Diabetes Mellitus is an endocrine disorder that arises when your blood glucose or blood
sugar is too high. Your body either does not create enough insulin or does not use the …

A Bimodal Approach for Diabetes and Heart Disease Prediction Using Precision Medicine

S Lalitha, P Kalaga, J Jatin… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Precision medication offers a more customized and designated way to deal with foreseeing
illness considering patients' special hereditary, natural, and ecological variables, along with …

Diabetic Analysis and Prediction Using Deep Learning

BNK Rao, A Poojitha, AG Preethi… - AI-Driven Innovations …, 2024 - igi-global.com
Diabetes, a chronic metabolic disorder with wide-ranging health implications, presents a
formidable global health challenge. Accurate prediction of the onset of diabetes is vital for …