AIMC Topic: Diabetes Mellitus
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Optimal selection of diagnostic method for diabetes mellitus using complex bipolar fuzzy dynamic data.
Scientific reports
Jan 31, 2025
Diabetes mellitus refers to a collection of metabolic disorders that affect the way carbohydrates are processed in the body. It is a prominent worldwide health issue. Precise and reliable decision-making methods are critical for identifying the most ...
Cost-effectiveness of AI-based diabetic retinopathy screening in nationwide health checkups and diabetes management in Japan: A modeling study.
Diabetes research and clinical practice
Jan 30, 2025
AIMS: We evaluated the cost-effectiveness of artificial intelligence (AI)-based diabetic retinopathy (DR) screening in Japan. This evaluation compared the simultaneous introduction of AI in nationwide health checkups, namely "specific health check-up...
Secretary bird optimization algorithm based on quantum computing and multiple strategies improvement for KELM diabetes classification.
Scientific reports
Jan 30, 2025
The classification of chronic diseases has long been a prominent research focus in the field of public health, with widespread application of machine learning algorithms. Diabetes is one of the chronic diseases with a high prevalence worldwide and is...
Risk factor assessment of prediabetes and diabetes based on epidemic characteristics in new urban areas: a retrospective and a machine learning study.
Scientific reports
Jan 30, 2025
To explore in depth the characteristics of the risk factors for diabetes and prediabetes pathogenesis and progression in special regions. We investigated medical data from 160 thousand cases in the newly developing urban area of a large modern city f...
Optimizing warfarin dosing in diabetic patients through BERT model and machine learning techniques.
Computers in biology and medicine
Jan 28, 2025
This study highlights the importance of evaluating warfarin dosing in diabetic patients, who require careful anticoagulation management. With rising rates of diabetes and cardiovascular diseases, understanding the factors influencing warfarin therapy...
A robust and generalized framework in diabetes classification across heterogeneous environments.
Computers in biology and medicine
Jan 25, 2025
Diabetes mellitus (DM) represents a major global health challenge, affecting a diverse range of demographic populations across all age groups. It has particular implications for women during pregnancy and the postpartum period. The contemporary preva...
Efficient diagnosis of diabetes mellitus using an improved ensemble method.
Scientific reports
Jan 25, 2025
Diabetes is a growing health concern in developing countries, causing considerable mortality rates. While machine learning (ML) approaches have been widely used to improve early detection and treatment, several studies have shown low classification a...
Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction.
PloS one
Jan 24, 2025
Diabetes, a chronic condition affecting millions worldwide, necessitates early intervention to prevent severe complications. While accurately predicting diabetes onset or progression remains challenging due to complex and imbalanced datasets, recent ...
AI Machine Learning-Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis.
JMIR formative research
Jan 21, 2025
BACKGROUND: Diabetes is prevalent in older adults, and machine learning algorithms could help predict diabetes in this population.
Perspective: Multiomics and Artificial Intelligence for Personalized Nutritional Management of Diabetes in Patients Undergoing Peritoneal Dialysis.
Advances in nutrition (Bethesda, Md.)
Jan 20, 2025
Managing diabetes in patients on peritoneal dialysis (PD) is challenging due to the combined effects of dietary glucose, glucose from dialysate, and other medical complications. Advances in technology that enable continuous biological data collection...
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