Artificial intelligence: the future for diabetes care
S Ellahham - The American journal of medicine, 2020 - Elsevier
Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global
pandemic, can reform the approach to diagnosis and management of this chronic condition …
pandemic, can reform the approach to diagnosis and management of this chronic condition …
[HTML][HTML] Artificial intelligence for diabetes management and decision support: literature review
I Contreras, J Vehi - Journal of medical Internet research, 2018 - jmir.org
Background Artificial intelligence methods in combination with the latest technologies,
including medical devices, mobile computing, and sensor technologies, have the potential to …
including medical devices, mobile computing, and sensor technologies, have the potential to …
Artificial neural networks in medical diagnosis
F Amato, A López, EM Peña-Méndez, P Vaňhara… - Journal of applied …, 2013 - Elsevier
An extensive amount of information is currently available to clinical specialists, ranging from
details of clinical symptoms to various types of biochemical data and outputs of imaging …
details of clinical symptoms to various types of biochemical data and outputs of imaging …
Design of intelligent diabetes mellitus detection system using hybrid feature selection based XGBoost classifier
In this work, a non-invasive diabetes mellitus detection system is proposed based on the
wristband photoplethysmography (PPG) signal and basic physiological parameters (PhyP) …
wristband photoplethysmography (PPG) signal and basic physiological parameters (PhyP) …
[HTML][HTML] Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis
Diabetes is an ailment in which glucose level increase in at high rates in blood due to body's
inability to metabolize it. This happens when body does not produce sufficient amount of …
inability to metabolize it. This happens when body does not produce sufficient amount of …
Stacking-based multi-objective evolutionary ensemble framework for prediction of diabetes mellitus
Diabetes mellitus (DM) is a combination of metabolic disorders characterized by elevated
blood glucose levels over a prolonged duration. Undiagnosed DM can give rise to a host of …
blood glucose levels over a prolonged duration. Undiagnosed DM can give rise to a host of …
A review of emerging technologies for the management of diabetes mellitus
Objective: High prevalence of diabetes mellitus (DM) along with the poor health outcomes
and the escalated costs of treatment and care poses the need to focus on prevention, early …
and the escalated costs of treatment and care poses the need to focus on prevention, early …
[PDF][PDF] Comparison of statistical logistic regression and random forest machine learning techniques in predicting diabetes
T Daghistani, R Alshammari - Journal of Advances in Information Technology …, 2020 - jait.us
Diabetes is one of the global concerns in the healthcare domain and one of the leading
challenges locally in Saudi Arabia. The prevalence of diabetes is anticipated to rise; early …
challenges locally in Saudi Arabia. The prevalence of diabetes is anticipated to rise; early …
An artificial neural network approach to detect presence and severity of Parkinson's disease via gait parameters
T Varrecchia, SF Castiglia, A Ranavolo, C Conte… - PLoS …, 2021 - journals.plos.org
Introduction Gait deficits are debilitating in people with Parkinson's disease (PwPD), which
inevitably deteriorate over time. Gait analysis is a valuable method to assess disease …
inevitably deteriorate over time. Gait analysis is a valuable method to assess disease …
Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes-ELSA-Brasil: accuracy study
ABSTRACT CONTEXT AND OBJECTIVE: Type 2 diabetes is a chronic disease associated
with a wide range of serious health complications that have a major impact on overall health …
with a wide range of serious health complications that have a major impact on overall health …