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Early warning for diabetes: AI model identifies prediabetes risk with high accuracy
A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...
The online information landscape, driven in large part by social media, rewards engagement and is curated by classification ...
The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...
Background While maternal depression and anxiety have been linked to adverse childhood respiratory outcomes, the role of ...
Background Adverse childhood experiences (ACEs) are traumatic events that occur before a child reaches the age of 15 with ...
Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...
Reduced costly care: Behavioral health–related emergency department visits and inpatient admissions decreased by 35% and 43%, respectively. Lower total medical costs: The intervention group saved ...
Objectives We hypothesise that women with type 2 diabetes and hypertension are less likely than comparable men to receive renin–angiotensin system (RAS)-inhibiting antihypertensive treatment, ...
Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...
Uterine fibroids may be a marker for identifying women prone to cardiovascular disease, according to a new longitudinal study.
A proposal was placed before the Greater Noida authority Board to include this line in the Master Plan 2041, which has been approved by the Board GREATER NOIDA: The Greater Noida authority’s 141st ...
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