AI-powered solution built on Bayesian's platform expands access to palliative care, identifies unmet patient needs earlier ...
In a pragmatic cluster non-randomized trial, Alexandra Kulinkina and colleagues investigate the effectiveness of a clinical decision support algorithm for guiding antibiotic prescribing in pediatric ...
Many authors have written about the harm of oversimplification, pointing out that it distorts reality, leads to shallow understanding, impairs problem-solving, and fuels biases. In culture wars, it ...
Digital transformation efforts are pushing many businesses to automate more. For the typical enterprise, however, increasing the level of automation is becoming more complicated than expected. My ...
To evaluate if VI-RADS can distinguish between non-muscle-invasive bladder cancers (NMIBC), muscle-invasive bladder cancer (MIBC), and high-risk non-muscle-invasive bladder cancers (HR-NMIBCs). It is ...
Abstract: This paper tackles the challenge of power consumption in the massive multiple-input multiple-output (mMIMO) base station (BS), where continuous operation of all antennas generates ...
Within the prior 24 months, I have had a financial relationship with a company producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients: Receive the the ...
In statistics and machine learning, logistic regression is a widely-used supervised learning technique primarily employed for binary classification tasks. When the number of observations greatly ...
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