[HTML][HTML] Machine learning application in autoimmune diseases: State of art and future prospectives

MG Danieli, S Brunetto, L Gammeri, D Palmeri… - Autoimmunity …, 2024 - Elsevier
Autoimmune diseases are a group of disorders resulting from an alteration of immune
tolerance, characterized by the formation of autoantibodies and the consequent …

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 …

Machine learning techniques for hypoglycemia prediction: trends and challenges

O Mujahid, I Contreras, J Vehi - Sensors, 2021 - mdpi.com
(1) Background: the use of machine learning techniques for the purpose of anticipating
hypoglycemia has increased considerably in the past few years. Hypoglycemia is the drop in …

Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review

M Eghbali-Zarch, S Masoud - Artificial Intelligence in Medicine, 2024 - Elsevier
Proper insulin management is vital for maintaining stable blood sugar levels and preventing
complications associated with diabetes. However, the soaring costs of insulin present …

An ensemble learning algorithm based on dynamic voting for targeting the optimal insulin dosage in type 1 diabetes management

G Noaro, G Cappon, G Sparacino… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
People with type 1 diabetes (T1D) need exogenous insulin administrations several times a
day. The amount of injected insulin is key for maintaining the concentration of blood glucose …

A multi‐objective optimal insulin bolus advisor for type 1 diabetes based on personalized model and daily diet

M Fakhroleslam… - Asia‐Pacific Journal of …, 2021 - Wiley Online Library
We proposed a personalized bolus advisor for patients with type 1 diabetes (T1D). A bolus
advisor is a decision support system that recommends insulin doses based on an open‐loop …

Machine Learning Based Techniques for the Design of Personalized Insulin Bolus Calculators in Type 1 Diabetes Therapy

G Noaro - 2023 - research.unipd.it
Negli ultimi anni, l'incidenza e la prevalenza del diabete di tipo 1 (T1D) sono in aumento in
tutto il mondo. Oltre all'onere economico legato al T1D, la gestione e il trattamento di questa …

Diabetes Prediction Based on Machine Learning

Y Sui - Theoretical and Natural Science, 2024 - ewadirect.com
Diabetes mellitus is a growing global health issue with an increasing incidence rate.
Traditional methods for predicting diabetes, which rely heavily on clinical data and physical …

[PDF][PDF] MACHINE LEARNING AND AUTOMATED INSULIN DOSING SYSTEMS (AID)

R Vilanova, AJ Cerqueira - csitcp.com
The number of children, adolescents, and adults living with diabetes increases annually due
to the lack of physical activity, poor diet habits, stress, and genetic factors, and there are …