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
Machine learning and deep learning predictive models for type 2 diabetes: a systematic review
Diabetes Mellitus is a severe, chronic disease that occurs when blood glucose levels rise
above certain limits. Over the last years, machine and deep learning techniques have been …
above certain limits. Over the last years, machine and deep learning techniques have been …
Artificial intelligence and biosensors in healthcare and its clinical relevance: A review
Data generated from sources such as wearable sensors, medical imaging, personal health
records, and public health organizations have resulted in a massive information increase in …
records, and public health organizations have resulted in a massive information increase in …
[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
Diabetes prediction using machine learning and explainable AI techniques
I Tasin, TU Nabil, S Islam… - Healthcare technology …, 2023 - Wiley Online Library
Globally, diabetes affects 537 million people, making it the deadliest and the most common
non‐communicable disease. Many factors can cause a person to get affected by diabetes …
non‐communicable disease. Many factors can cause a person to get affected by diabetes …
[HTML][HTML] An assessment of machine learning models and algorithms for early prediction and diagnosis of diabetes using health indicators
Breakthroughs in healthcare analytics can help both the doctor and the patient. Analytics in
healthcare can help spot and diagnose diseases early on. Therefore, they can also be used …
healthcare can help spot and diagnose diseases early on. Therefore, they can also be used …
[HTML][HTML] An ensemble approach for the prediction of diabetes mellitus using a soft voting classifier with an explainable AI
Diabetes is a chronic disease that continues to be a primary and worldwide health concern
since the health of the entire population has been affected by it. Over the years, many …
since the health of the entire population has been affected by it. Over the years, many …
Improving diabetes disease patients classification using stacking ensemble method with PIMA and local healthcare data
Diabetes mellitus, a chronic metabolic disorder, continues to be a major public health issue
around the world. It is estimated that one in every two diabetics is undiagnosed. Early …
around the world. It is estimated that one in every two diabetics is undiagnosed. Early …
Predicting diabetes with multivariate analysis an innovative KNN-based classifier approach
Diabetes seems to be a severe protracted disease or combination of biochemical disorders.
A person's blood glucose (BG) levels remain elevated for an extended period because …
A person's blood glucose (BG) levels remain elevated for an extended period because …
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes
Abstract Type 2 Diabetes (T2D) is a chronic disease characterized by abnormally high blood
glucose levels due to insulin resistance and reduced pancreatic insulin production. The …
glucose levels due to insulin resistance and reduced pancreatic insulin production. The …
Fog-cloud architecture-driven Internet of Medical Things framework for healthcare monitoring
The new coronavirus disease (COVID-19) has increased the need for new technologies
such as the Internet of Medical Things (IoMT), Wireless Body Area Networks (WBANs), and …
such as the Internet of Medical Things (IoMT), Wireless Body Area Networks (WBANs), and …