Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Artificial intelligence for diabetic retinopathy detection: A systematic review
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
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
Abstract Background Machine Learning (ML) represents a rapidly growing technology that
supplies the most effective solutions for solving complex problems. The application of ML …
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
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 …
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
A sustainable healthcare focuses on enhancing and restoring public health parameters
thereby reducing gloomy impacts on social, economic and environmental elements of a …
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 …
predicting stock prices, picture recognition, financial modelling, disease prediction, and …
Application and evaluation of classification model to detect autistic spectrum disorders in children
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 …
interactive activities. There is an eminent requirement of a real-time and easy-to-access …