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.
We trained models using logistic regression (LR) and four commonly used ML algorithms to predict NCGC from age-/sex-matched controls in two EHR systems: Stanford University and the University of ...
Women living with and without HIV, age 30-65 years, were recruited in South Africa. Self-collected vaginal samples and clinician-collected cervical samples were tested with Xpert HPV, an assay that ...
A retrospective study found that 3 machine learning models demonstrated equivalent predictability and greater sensitivity in the prognosis of chronic kidney disease (CKD) compared with the Kidney ...
African American doctor talking to patient in office Researchers sought to identify predictive markers of ustekinumab response as well as evaluate the effect of its pharmacokinetics on the clinical ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
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