A machine learning approach to predicting diabetes complications

Y Jian, M Pasquier, A Sagahyroon, F Aloul - Healthcare, 2021 - mdpi.com
Diabetes mellitus (DM) is a chronic disease that is considered to be life-threatening. It can
affect any part of the body over time, resulting in serious complications such as nephropathy …

Combining fractional derivatives and machine learning: A review

S Raubitzek, K Mallinger, T Neubauer - Entropy, 2022 - mdpi.com
Fractional calculus has gained a lot of attention in the last couple of years. Researchers
have discovered that processes in various fields follow fractional dynamics rather than …

[PDF][PDF] Diabetic Prediction based on Machine Learning Using PIMA Indian Dataset

MS Salih, RK Ibrahim, SRM Zeebaree… - … on Applied Nonlinear …, 2024 - researchgate.net
Diabetes mellitus, a chronic condition, causes disruptions in the metabolic processes of
carbohydrates, lipids, and proteins. Hyperglycemia, characterised by elevated blood sugar …

Prediction of micro vascular and macro vascular complications in type-2 diabetic patients using machine learning techniques

B Vamsi, A Al Bataineh… - International Journal of …, 2022 - search.proquest.com
A collection of metabolic conditions known as diabetes mellitus are defined by
hyperglycemia brought on by deficiencies in insulin secretion, action, or both. In terms of …

A Minimized Measurement Scheme for Predicting HbA1c Using Discrete Self-Monitoring Blood Glucose Data Within 4 Weeks for People with Type 2 Diabetes

A Li, X Li, Z Geng, J Zhang, X Wang… - Diabetes Technology & …, 2024 - liebertpub.com
Objective: To establish an accurate and robust calculation model for predicting hemoglobin
A1c (HbA1c) for people with type 2 diabetes (T2D) by using the fewest discrete blood …

Identifying High-Risk Patients for Diabetes using Machine Learning

W Dib, O Kerdjidj, N Zergoug… - 2024 8th International …, 2024 - ieeexplore.ieee.org
Diabetes is a chronic disease that represents a major challenge for global health. However,
current technological advances allow us to monitor blood glucose levels in real time …

Statistical modelling and machine learning for the epidemiology of diabetes in Saudi Arabia

E Almutairi - 2022 - bura.brunel.ac.uk
Mathematical modelling and machine learning algorithms have been successfully applied to
the healthcare domain and epidemiological chronic disease including diabetes mellitus …

The Effect of Age, Gender According to Types and Duration of Diabetes among Patients in Al-Nasiriyah City

S Oudah - Journal of Biomedicine and Biochemistry, 2024 - biomedbiochem.nabea.pub
Background A cross-sectional study including patients visiting the Di-abetes and
Endocrinology Center in the city of Nasiriyah. The ages of patients range from 12 to 75 …

[PDF][PDF] Machine Learning for Diabetes and Mortality Risk Prediction From Electronic Health Records

Z ALHASSAN, H NASSER - 2021 - etheses.dur.ac.uk
This chapter proceeds by:(i) offering an introduction to this topic;(ii) assessing the benefits of
using existing EHR data to predict health outcomes;(iii) explaining the motivation for …

Combining Fractional Derivatives and Supervised Machine Learning: A Review

S Raubitzek, K Mallinger, T Neubauer - 2022 - preprints.org
Fractional calculus gained a lot of attention in the last couple of years. Researchers
discovered that processes in various fields follow rather fractional dynamics than ordinary …