CMAJ

Machine learning prediction of premature death from multimorbidity among people with ...

Background: Multimorbidity, the co-occurrence of 2 or more chronic conditions, is important in patients with inflammatory bowel disease (IBD) given its association with complex care plans, poor health ...
ascopubs.org

Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in ...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...
MSN による配信

Machine learning identifies key comorbidities predicting premature death in IBD patients

New machine learning study reveals how early-life chronic conditions like arthritis, mood disorders, and hypertension may drive premature death in people with IBD—highlighting critical opportunities ...
EurekAlert!

Machine learning takes biochar dye cleanup to the next level

Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many ...
Indiatimes

Early EEG data, machine learning can help predict antidepressant treatment response, finds ...

Chennai: Data from the neurophysiological test, electroencephalography (EEG), used to measure and record the brain's electrical activity, can predict if treatment such as stimulation or ...