[HTML][HTML] Artificial intelligence for diabetic retinopathy detection: A systematic review

A Senapati, HK Tripathy, V Sharma… - Informatics in Medicine …, 2024 - Elsevier
The incidence of diabetic retinopathy (DR) has increased at a rapid pace in recent years all
over the world. Diabetic eye illness is identified as one of the most common reasons for …

Review of feature selection, dimensionality reduction and classification for chronic disease diagnosis

AM Alhassan, WMNW Zainon - IEEE Access, 2021 - ieeexplore.ieee.org
The early diagnosis of chronic diseases plays a vital role in the field of healthcare
communities and biomedical, where it is necessary for detecting the disease at an initial …

[HTML][HTML] Modified U-net architecture for segmentation of skin lesion

V Anand, S Gupta, D Koundal, SR Nayak, P Barsocchi… - Sensors, 2022 - mdpi.com
Dermoscopy images can be classified more accurately if skin lesions or nodules are
segmented. Because of their fuzzy borders, irregular boundaries, inter-and intra-class …

[HTML][HTML] Deep LSTM model for diabetes prediction with class balancing by SMOTE

SA Alex, NZ Jhanjhi, M Humayun, AO Ibrahim… - Electronics, 2022 - mdpi.com
Diabetes is an acute disease that happens when the pancreas cannot produce enough
insulin. It can be fatal if undiagnosed and untreated. If diabetes is revealed early enough, it …

Performance evaluation of a proposed machine learning model for chronic disease datasets using an integrated attribute evaluator and an improved decision tree …

S Mishra, PK Mallick, HK Tripathy, AK Bhoi… - Applied Sciences, 2020 - mdpi.com
There is a consistent rise in chronic diseases worldwide. These diseases decrease immunity
and the quality of daily life. The treatment of these disorders is a challenging task for medical …

A novel stacking technique for prediction of diabetes

SK Kalagotla, SV Gangashetty, K Giridhar - Computers in Biology and …, 2021 - Elsevier
Abstract Background Machine Learning (ML) represents a rapidly growing technology that
supplies the most effective solutions for solving complex problems. The application of ML …

A Decisive Metaheuristic Attribute Selector Enabled Combined Unsupervised‐Supervised Model for Chronic Disease Risk Assessment

S Mishra, HK Thakkar, P Singh… - Computational …, 2022 - Wiley Online Library
Advanced predictive analytics coupled with an effective attribute selection method plays a
pivotal role in the precise assessment of chronic disorder risks in patients. Traditional …

[HTML][HTML] A sustainable IoHT based computationally intelligent healthcare monitoring system for lung cancer risk detection

S Mishra, HK Thakkar, PK Mallick, P Tiwari… - Sustainable Cities and …, 2021 - Elsevier
A sustainable healthcare focuses on enhancing and restoring public health parameters
thereby reducing gloomy impacts on social, economic and environmental elements of a …

An ensemble of Light Gradient Boosting Machine and adaptive boosting for prediction of type-2 diabetes

MJ Sai, P Chettri, R Panigrahi, A Garg, AK Bhoi… - International Journal of …, 2023 - Springer
Abstract Machine learning helps construct predictive models in clinical data analysis,
predicting stock prices, picture recognition, financial modelling, disease prediction, and …

Application and evaluation of classification model to detect autistic spectrum disorders in children

HK Tripathy, PK Mallick… - International Journal of …, 2021 - inderscienceonline.com
An Autism Spectrum Disorder (ASD) affected child faces significant difficulties in social
interactive activities. There is an eminent requirement of a real-time and easy-to-access …