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Understanding the complex relationships of biomarkers in diabetes is pivotal for advancing treatment strategies, a pressing need in diabetes research. This study applies Bayesian network structure learning to analyze the Shanghai Type 1 and…

Quantitative Methods · Quantitative Biology 2024-06-26 Yuyang Sun , Jingyu Lei , Panagiotis Kosmas

Diabetes Mellitus (DM) is a chronic disease characterized by an increase in blood glucose (sugar) above normal levels and it appears when human body is not able to produce enough insulin to cover the peripheral tissue demand. Nowadays, DM…

Computers and Society · Computer Science 2020-11-05 Enzo Rucci , Lisandro Delia , Joaquín Pujol , Paula Erbino , Armando De Giusti , Juan José Gagliardino

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…

Machine Learning · Computer Science 2025-06-09 Praveen Kumar , Vincent T. Metzger , Scott A. Malec

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…

Machine Learning · Computer Science 2019-02-27 Md. Faisal Faruque , Asaduzzaman , Iqbal H. Sarker

Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels due to impaired insulin production or function. Two main forms are recognized: type 1 diabetes (T1D), which involves autoimmune destruction of…

Genomics · Quantitative Biology 2026-02-11 Maria De La Luz Lomboy Toledo , Daniel Onah

Even within small organs like pancreatic islets, different endocrine cell types and subtypes form a heterogeneous collective to sense the chemical composition of the extracellular solution and compute an adequate hormonal output. Erroneous…

Cell Behavior · Quantitative Biology 2019-04-02 Dean Korošak , Marjan Slak Rupnik

Objective. Type 2 diabetes mellitus (T2DM) is a highly prevalent non-communicable chronic disease that substantially reduces life expectancy. Accurate estimation of all-cause mortality risk in T2DM patients is crucial for personalizing and…

In this study, we delve into the intricate relationships between diabetes and a range of health indicators, with a particular focus on the newly added variable of income. Utilizing data from the 2015 Behavioral Risk Factor Surveillance…

Machine Learning · Computer Science 2024-04-23 Fariba Jafari Horestani , M. Mehdi Owrang O

Understanding the insulin signaling cascade provides insights on the underlying mechanisms of biological phenomena such as insulin resistance, diabetes, Alzheimer's disease, and cancer. For this reason, previous studies utilized chemical…

Molecular Networks · Quantitative Biology 2024-05-20 Patrick Vincent N. Lubenia , Eduardo R. Mendoza , Angelyn R. Lao

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…

Machine Learning · Computer Science 2023-01-10 Md. Kowsher , Mahbuba Yesmin Turaba , Tanvir Sajed , M M Mahabubur Rahman

Maintenance of adequate physical and functional pancreatic $\beta$-cell mass is critical for the prevention or delay of diabetes mellitus. It is well established that insulin potently activates mitogenic and anti-apoptotic signaling…

Dynamical Systems · Mathematics 2024-06-04 Changbing Hu , Junyuan Yang , James D. Johnson , Jiaxu Li

Effective patient education is critical for managing Type 2 Diabetes Mellitus (T2DM), one of the most common chronic diseases in the United States. While some studies focus on the information-seeking behavior of T2DM patients, other…

Human-Computer Interaction · Computer Science 2019-10-29 Sarah Masud Preum , Kate Clark , Ashley Davis , Konstantine Khutsishvilli , Rupa S Valdez

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…

Computational Engineering, Finance, and Science · Computer Science 2015-02-13 Aiswarya Iyer , S. Jeyalatha , Ronak Sumbaly

Over 30 million Americans are affected by Type II diabetes (T2D), a treatable condition with significant health risks. This study aims to develop and validate predictive models using machine learning (ML) techniques to estimate emergency…

Quantitative Methods · Quantitative Biology 2024-12-13 Javad M Alizadeh , Jay S Patel , Gabriel Tajeu , Yuzhou Chen , Ilene L Hollin , Mukesh K Patel , Junchao Fei , Huanmei Wu

Prediction of diabetes and its various complications has been studied in a number of settings, but a comprehensive overview of problem setting for diabetes prediction and care management has not been addressed in the literature. In this…

Machine Learning · Computer Science 2021-04-30 Aloysius Lim , Ashish Singh , Jody Chiam , Carly Eckert , Vikas Kumar , Muhammad Aurangzeb Ahmad , Ankur Teredesai

Diabetes mellitus is a global health crisis characterized by poor blood sugar regulation, impacting millions of people worldwide and leading to severe complications and mortality. Although Type 1 Diabetes Mellitus (T1DM) has a lower number…

Other Quantitative Biology · Quantitative Biology 2025-04-14 Rinrada Jadsadaphongphaibool , Dadi Bi , Christian D. Lorenz , Yansha Deng , Robert Schober

This study introduces a novel approach for early Type 2 Diabetes Mellitus (T2DM) risk prediction using a tabular transformer (TabTrans) architecture to analyze longitudinal patient data. By processing patients` longitudinal health records…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Sulaiman Khan , Md. Rafiul Biswas , Zubair Shah

Type 1 diabetes (T1D) is an autoimmune disorder that leads to the destruction of insulin-producing cells, resulting in insulin deficiency, as to why the affected individuals depend on external insulin injections. However, insulin can…

Machine Learning · Computer Science 2026-04-27 Beyza Cinar , Maria Maleshkova

Motivation: With the aim to amplify and make sense of interactions of virus-human proteins in the case of SARS-CoV-2, we performed a structural analysis of the network of protein interactions obtained from the integration of three sources:…

Molecular Networks · Quantitative Biology 2020-09-15 Beatriz Luna , Marcelino Ramírez , Edgardo Galán

2 Diabetes is a leading worldwide public health concern, and its increasing prevalence has significant health and economic importance in all nations. The condition is a multifactorial disorder with a complex aetiology. The genetic…

Machine Learning · Computer Science 2018-08-30 Basma Abdulaimma , Paul Fergus , Carl Chalmers
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