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 ...
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 ...
Among hospitalized patients with cirrhosis, a machine learning (ML) model enhanced mortality prediction compared with traditional methods and was consistent across country income levels in a large ...
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More Granular Risk Score May Improve Maternal Morbidity Prediction
New maternal Prenatal Risk Index model weighs more factors based on severity of risk ...
Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...
† For urbanization, AAMR 1999-2020. *P-value <0.05. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full text component.
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory failure (ARF) represents one of its most critical complications. Once ...
This study validates the Predicting Risk of CVD Events (PREVENT) score across diverse racial and ethnic populations, highlighting its effectiveness in predicting cardiovascular risk and mortality, ...
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 ...
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