Machine learning (ML) models predict in-hospital mortality in intensive care unit (ICU) patients with lymphoma, according to a study published online Aug. 20 in PLOS ONE. Ling Xu, from the Guangzhou ...
A Walker and Avant concept analysis published in BMC Nursing defines intelligent robot-assisted care in critical care nursing ...
Please provide your email address to receive an email when new articles are posted on . By training artificial intelligence, or AI, algorithms with electronic health record data, researchers ...
Targeted and immunotherapy strategies in biliary tract cancer: A Bayesian network meta-analysis comparing efficacy and safety.
Machine learning prediction of clinical tumor lysis syndrome in critically ill patients with hematologic malignancies using laboratory trajectory features: A MIMIC-IV retrospective cohort study.
New machine learning model predicts cardiac arrest in ICU patients using ECG data with high accuracy
In a recent article published in Npj Digital Medicine, researchers utilized electrocardiogram (ECG) data from a large retrospective cohort to extract various heart rate variability (HRV) measures.
Johns Hopkins University researchers have developed machine-learning (ML) algorithms that can detect the early warning signs of delirium and predict which patients will be at high risk of delirium at ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results