The Law of Mass action predicts that all adverse drug reactions are related to the concentration of the drug at the site of ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
A new analysis of gene expression in blood samples suggests that specific biological signs of Parkinson’s disease are ...
Patients’ financial resources affect their enrollment in oncology clinical trials to a greater degree than traditional ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
It's easier than you thought ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
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Google DeepMind and self-learning AI explained
The curious minds at ColdFusion analyze Google DeepMind and its surprising intelligence Video shows attack on Ilhan Omar during town hall Trump triggers flight from US dollar Queen Camilla is acutely ...
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