Machine Learning Model of Emergency Department Use for Patients Undergoing Treatment for Head and Neck Cancer Using Comprehensive Multifactor Electronic Health Records Machine learning models ...
Machine learning models showed strong predictive performance for 5-year survival in stage III colorectal cancer patients, with AUC values between 0.766 and 0.791. Key prognostic factors identified ...
Conversely, HIE, a condition caused by oxygen deprivation during delivery, was linked to markedly shorter survival times, ...
A single blood sample from a critically ill COVID-19 patient can be analyzed by a machine learning model which uses blood plasma proteins to predict survival, weeks before the outcome, according to a ...
The application of Cox proportional hazards (CoxPH) models to survival data and the derivation of hazard ratio (HR) are well established. Although nonlinear, tree-based machine learning (ML) models ...
Jan. 18 (UPI) --Blood samples collected from patients with severe COVID-19 can be analyzed by a machine learning approach to predict whether they will recover and survive or die from the disease, a ...
Please provide your email address to receive an email when new articles are posted on . Machine learning models, compared with traditional models, demonstrated good performance in the prediction of ...
Jan. 2 (UPI) --Can artificial intelligence assist in colon cancer screening? A study published Thursday in the journal Science Translational Medicine suggests a new machine learning platform can help ...
Using neighborhood and local data in combination with existing information sources creates a more accurate prediction on a patient's recovery prospects after an out-of-hospital cardiac arrest (OHCA), ...
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