Recent progress in survival analysis has been driven by the integration of machine learning techniques with traditional statistical models, such as the Cox proportional hazards model. This synthesis ...

Patients treated with palliative radiation therapy for SBM from May 2013 to May 2016 at two hospital-based community radiation oncology clinics were included, and medical records were retrospectively ...

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 ...

You have /5 articles left. Sign up for a free account or log in. Today on the Academic Minute, part of University of California, Irvine, Week: Jung In Park, assistant ...

Machine Learning Model of Emergency Department Use for Patients Undergoing Treatment for Head and Neck Cancer Using Comprehensive Multifactor Electronic Health Records There is limited knowledge 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 ...

At the University of California Irvine Sue & Bill Gross School of Nursing, faculty researchers are developing innovative new ways to harness artificial intelligence for improved patient care quality ...

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 ...

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 ...

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 ...