Please provide your email address to receive an email when new articles are posted on . Researchers found 54% of studies had risk for bias due to inadequate population selection. Moreover, 30% of ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

No current models accurately predict time to death in patients with kidney failure. New mortality prediction models should be developed for patients with end-stage kidney disease (ESKD), as current ...

ROC curves illustrating the discriminative ability of the VR-specific 30-day mortality prediction models. (A–C) Performance of the high VR model in the ARDSnet training cohort (A), internal validation ...

Patients with myelodysplastic syndromes (MDS) exhibit diverse disease trajectories necessitating different clinical approaches ranging from watch-and-wait strategies to hematopoietic stem cell ...

In a bid to improve end-of-life care for incarcerated individuals in the California prison system, UC San Francisco researchers have found a way to predict who is most likely to die within two years ...

Researchers from the Yong Loo Lin School of Medicine, National University of Singapore (NUS Medicine) have developed an improved biological aging clock, "LinAge2," that offers doctors a practical and ...

Thirty-day mortality of patients with major trauma fell if they received intubation before hospital admission per prediction from a machine learning risk-stratifying model, according to data published ...

It would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient's condition rapidly deteriorates or shows vitals in highly abnormal ...

A team of researchers from Boston-based Harvard Medical School, Boston-based Massachusetts General Hospital and IBM Research developed a risk score to predict patient outcomes after cirrhosis-related ...