Type 1 diabetes (T1D) is an autoimmune condition in which the body's own immune system attacks insulin-producing cells. As a ...
Domain adaptation may be a novel creative solution to predict infection risk in patients with chronic lymphocytic leukemia ...
The hybrid model integrates three components to address key challenges and was rigorously evaluated, paving way for accurate blood glucose prediction. JEONBUK-DO, South Korea, Mar ...
Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.
When Hend Alqaderiwas studying how saliva could predict the risk of diabetes or the severity of a coronavirus infection, she collected a lot of saliva samples-thousands, measuring hundreds of bacteria ...
Monitoring and treating heart failure (HF) is a challenging condition at any age. Several models, such as Atrial fibrillation, Hemoglobin, Elderly, Abnormal renal parameters, Diabetes mellitus (AHEAD) ...
For early identification and individualised management, machine learning-based diabetes prediction is essential. In this work, the methods for logistic regression (LR), naïve Bayes (NB), decision ...
Gestational diabetes mellitus (GDM), a prevalent metabolic disorder associated with pregnancy, which often postpones intervention until after metabolic complications have developed. This study seeks ...
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