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Diabetes is one of the chronic diseases that has been discovered for decades. However, several cases are diagnosed in their late stages. Every one in eleven of the world's adult population has diabetes. Forty-six percent of people with…

机器学习 · 计算机科学 2022-02-24 Nelly Elsayed , Zag ElSayed , Murat Ozer

Diabetes has affected over 246 million people worldwide with a majority of them being women. According to the WHO report, by 2025 this number is expected to rise to over 380 million. The disease has been named the fifth deadliest disease in…

计算工程、金融与科学 · 计算机科学 2015-02-13 Aiswarya Iyer , S. Jeyalatha , Ronak Sumbaly

Diabetes mellitus is a common disease of human body caused by a group of metabolic disorders where the sugar levels over a prolonged period is very high. It affects different organs of the human body which thus harm a large number of the…

机器学习 · 计算机科学 2019-02-27 Md. Faisal Faruque , Asaduzzaman , Iqbal H. Sarker

Type 2 Diabetes is a fast-growing, chronic metabolic disorder due to imbalanced insulin activity.The motion of this research is a comparative study of seven machine learning classifiers and an artificial neural network method to…

机器学习 · 计算机科学 2023-01-10 Md. Kowsher , Mahbuba Yesmin Turaba , Tanvir Sajed , M M Mahabubur Rahman

Diabetic retinopathy is one of the most threatening complications of diabetes that leads to permanent blindness if left untreated. One of the essential challenges is early detection, which is very important for treatment success.…

机器学习 · 计算机科学 2020-03-06 Borys Tymchenko , Philip Marchenko , Dmitry Spodarets

According to the American Diabetes Association(ADA), 30.3 million people in the United States have diabetes, but only 7.2 million may be undiagnosed and unaware of their condition. Type 2 diabetes is usually diagnosed for most patients…

机器学习 · 计算机科学 2019-10-22 Ramya Akula , Ni Nguyen , Ivan Garibay

Diabetes has emerged as a significant global health issue, especially with the increasing number of cases in many countries. This trend Underlines the need for a greater emphasis on early detection and proactive management to avert or…

机器学习 · 计算机科学 2025-06-16 Mowafaq Salem Alzboon , Muhyeeddin Alqaraleh , Mohammad Subhi Al-Batah

The global prevalence of diabetes, particularly type 2 diabetes mellitus (T2DM), is rapidly increasing, posing significant health and economic challenges. T2DM not only disrupts blood glucose regulation but also damages vital organs such as…

机器学习 · 计算机科学 2025-06-09 Praveen Kumar , Vincent T. Metzger , Scott A. Malec

Diabetic Retinopathy is a global health problem, influences 100 million individuals worldwide, and in the next few decades, these incidences are expected to reach epidemic proportions. Diabetic Retinopathy is a subtle eye disease that can…

图像与视频处理 · 电气工程与系统科学 2020-04-15 Saket S. Chaturvedi , Kajol Gupta , Vaishali Ninawe , Prakash S. Prasad

In many nations, diabetes is becoming a significant health problem, and early identification and control are crucial. Using machine learning algorithms to predict diabetes has yielded encouraging results. Using the Pima Indians Diabetes…

Background and objective: Diabetes is a chronic pathology which is affecting more and more people over the years. It gives rise to a large number of deaths each year. Furthermore, many people living with the disease do not realize the…

Type 2 Diabetes is one of the most major and fatal diseases known to human beings, where thousands of people are subjected to the onset of Type 2 Diabetes every year. However, the diagnosis and prevention of Type 2 Diabetes are relatively…

Diabetes is a global epidemic and it is increasing at an alarming rate. The International Diabetes Federation (IDF) projected that the total number of people with diabetes globally may increase by 48%, from 425 million (year 2017) to 629…

图像与视频处理 · 电气工程与系统科学 2021-01-01 Wei Xiang Lim , Zhiyuan Chen , Amr Ahmed , Tissa Chandesa , Iman Liao

Diabetes remains a significant health challenge globally, contributing to severe complications like kidney disease, vision loss, and heart issues. The application of machine learning (ML) in healthcare enables efficient and accurate disease…

机器学习 · 计算机科学 2025-05-13 Mahade Hasan , Farhana Yasmin

This paper reviews a wide selection of machine learning models built to predict both the presence of diabetes and the presence of undiagnosed diabetes using eight years of National Health and Nutrition Examination Survey (NHANES) data.…

机器学习 · 计算机科学 2021-05-21 Avraham Adler

Diabetes, resulting from inadequate insulin production or utilization, causes extensive harm to the body. Existing diagnostic methods are often invasive and come with drawbacks, such as cost constraints. Although there are machine learning…

机器学习 · 计算机科学 2024-09-24 Zeyu Zhang , Khandaker Asif Ahmed , Md Rakibul Hasan , Tom Gedeon , Md Zakir Hossain

In the U.S., over a third of adults are pre-diabetic, with 80\% unaware of their status. This underlines the need for better glucose monitoring to prevent type 2 diabetes and related heart diseases. Existing wearable glucose monitors are…

信号处理 · 电气工程与系统科学 2024-06-26 Yidong Zhu , Nadia B Aimandi , Mohammad Arif Ul Alam

Diabetic Retinopathy is a critical health problem influences 100 million individuals worldwide, and these figures are expected to rise, particularly in Asia. Diabetic Retinopathy is a chronic eye disease which can lead to irreversible…

计算机视觉与模式识别 · 计算机科学 2019-09-27 Saket S. Chaturvedi , Kajol Gupta , Vaishali Ninawe , Prakash S. Prasad

Many people are affected by diabetes around the world. This disease may have type 1 and 2. Diabetes brings with it several complications including diabetic retinopathy, which is a disease that if not treated correctly can lead to…

图像与视频处理 · 电气工程与系统科学 2020-01-17 Gilberto Luis De Conto Junior

Diabetes impacts the quality of life of millions of people. However, diabetes diagnosis is still an arduous process, given that the disease develops and gets treated outside the clinic. The emergence of wearable medical sensors (WMSs) and…

计算机视觉与模式识别 · 计算机科学 2019-10-14 Hongxu Yin , Bilal Mukadam , Xiaoliang Dai , Niraj K. Jha
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