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The role of machine learning in advancing diabetic foot: a review
Background Diabetic foot complications impose a significant strain on healthcare systems
worldwide, acting as a principal cause of morbidity and mortality in individuals with diabetes …
worldwide, acting as a principal cause of morbidity and mortality in individuals with diabetes …
Prediction Models for Type 2 Diabetes Progression: A Systematic Review
Diabetes, especially type 2 diabetes (T2D), is a chronic disease affecting millions of people
worldwide. The increasing prevalence of T2D, coupled with the complex interplay between …
worldwide. The increasing prevalence of T2D, coupled with the complex interplay between …
Machine learning prediction of mortality in acute myocardial infarction
Abstract Background Acute Myocardial Infarction (AMI) is the leading cause of death in
Portugal and globally. The present investigation created a model based on machine …
Portugal and globally. The present investigation created a model based on machine …
Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction
Diabetes, a chronic condition affecting millions worldwide, necessitates early intervention to
prevent severe complications. While accurately predicting diabetes onset or progression …
prevent severe complications. While accurately predicting diabetes onset or progression …
Artificial intelligence in pediatric allergy research
Atopic dermatitis, food allergy, allergic rhinitis, and asthma are among the most common
diseases in childhood. They are heterogeneous diseases, can co-exist in their development …
diseases in childhood. They are heterogeneous diseases, can co-exist in their development …
[HTML][HTML] Enhancing Diabetes Prediction and Prevention through Mahalanobis Distance and Machine Learning Integration
Diabetes mellitus (DM) is a global health challenge that requires advanced strategies for its
early detection and prevention. This study evaluates the South Korean population using the …
early detection and prevention. This study evaluates the South Korean population using the …
[HTML][HTML] A predictive approach for myocardial infarction risk assessment using machine learning and big clinical data
I Boudali, S Chebaane, Y Zitouni - Healthcare analytics, 2024 - Elsevier
Myocardial infarction is one of the most common cardiovascular diseases in emergency
departments. Early prevention of this dangerous condition significantly impacts public health …
departments. Early prevention of this dangerous condition significantly impacts public health …
Impact of machine learning on dietary and exercise behaviors in type 2 diabetes self-management: a systematic literature review
Self-awareness and self-management in diabetes are critical as they enhance patient well-
being, decrease financial burden, and alleviate strain on healthcare systems by mitigating …
being, decrease financial burden, and alleviate strain on healthcare systems by mitigating …
[HTML][HTML] Proactive identification of patients with diabetes at risk of uncontrolled outcomes during a diabetes management program: Conceptualization and …
Background: The growth in the capabilities of telehealth have made it possible to identify
individuals with a higher risk of uncontrolled diabetes and provide them with targeted …
individuals with a higher risk of uncontrolled diabetes and provide them with targeted …
Big data for neuroscience in the context of predictive, preventive, and personalized medicine
Accurate and precise diagnosis made the medicine the hallmark of evidence-based
medicine. While attaining absolute patient satisfaction may seem impossible in the aspect of …
medicine. While attaining absolute patient satisfaction may seem impossible in the aspect of …