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Human activity recognition in artificial intelligence framework: a narrative review
Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …
acquisition devices such as smartphones, video cameras, and its ability to capture human …
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 …
[HTML][HTML] Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective
Abstract Background and Objective Diabetes mellitus is a metabolic disorder characterized
by hyperglycemia, which results from the inadequacy of the body to secrete and respond to …
by hyperglycemia, which results from the inadequacy of the body to secrete and respond to …
Diabetes prediction using ensembling of different machine learning classifiers
Diabetes, also known as chronic illness, is a group of metabolic diseases due to a high level
of sugar in the blood over a long period. The risk factor and severity of diabetes can be …
of sugar in the blood over a long period. The risk factor and severity of diabetes can be …
[HTML][HTML] A novel machine learning approach for diagnosing diabetes with a self-explainable interface
This study introduces the first-ever self-explanatory interface for diagnosing diabetes
patients using machine learning. We propose four classification models (Decision Tree (DT) …
patients using machine learning. We propose four classification models (Decision Tree (DT) …
Classification and prediction of diabetes disease using machine learning paradigm
Background and objectives Diabetes is a chronic disease characterized by high blood
sugar. It may cause many complicated disease like stroke, kidney failure, heart attack, etc …
sugar. It may cause many complicated disease like stroke, kidney failure, heart attack, etc …
[HTML][HTML] Early prediction of diabetes using an ensemble of machine learning models
Diabetes is one of the most rapidly spreading diseases in the world, resulting in an array of
significant complications, including cardiovascular disease, kidney failure, diabetic …
significant complications, including cardiovascular disease, kidney failure, diabetic …
Prediction of type 2 diabetes based on machine learning algorithm
HM Deberneh, I Kim - International journal of environmental research and …, 2021 - mdpi.com
Prediction of type 2 diabetes (T2D) occurrence allows a person at risk to take actions that
can prevent onset or delay the progression of the disease. In this study, we developed a …
can prevent onset or delay the progression of the disease. In this study, we developed a …
[HTML][HTML] Economics of artificial intelligence in healthcare: diagnosis vs. treatment
Motivation: The price of medical treatment continues to rise due to (i) an increasing
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …
Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
E Afsaneh, A Sharifdini, H Ghazzaghi… - Diabetology & Metabolic …, 2022 - Springer
Diabetes as a metabolic illness can be characterized by increased amounts of blood
glucose. This abnormal increase can lead to critical detriment to the other organs such as …
glucose. This abnormal increase can lead to critical detriment to the other organs such as …