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 ...
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 ...
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 ...
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 ...
A UCLA-led team has developed a machine-learning model that can predict with a high degree of accuracy the short-term survival of dialysis patients on Continuous Renal Replacement Therapy (CRRT). CRRT ...
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 ...
Glioblastoma (GBM) is the most common and primary type of brain cancer with a median overall survival of less than 15 months despite aggressive treatment. At the genomic level, GBM is characterized by ...
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 ...
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