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A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.
A machine learning model developed to predict 5-year survival in stage III colorectal cancer patients highlights key ...
Artificial Intelligence (AI) is transforming credit risk modeling by offering methods and tools that serve as a complement - or even an alternative - to ...
A new study by Anthropic, the company behind Claude AI, has revealed that AI models and neural networks can quietly absorb ...
With the rapid development of the global economy, many countries particularly China are facing significant aging challenges [ ...
Findings from a new study published in Annals of Family Medicine show that a machine learning model accurately predicts ...
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HealthDay on MSNRandom Forest AI Model Superior for Inpatient Mortality Prognostication in CirrhosisFor inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of inpatient mortality, according to a study published online July 23 in ...
Novel nomogram models predict early neurological deterioration and 90-day outcomes in AIS patients treated with IV ...
Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...
Higher dietary inflammation increased depression risk, partly through visceral obesity, highlighting BRI as a key pathway for ...
A recent study involving 19,388 participants identified the platelet-to-high-density lipoprotein ratio (PHR) as a promising ...
This study examined whether machine learning could predict the risk and contributing factors of no-shows and late cancellations ...
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