Objective Geriatric patients often face issues related to polypharmacy and adverse drug events. Re-evaluating prescribed medications and considering deprescribing is critical. Medication discrepancies ...
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.
Background Cardiovascular disease (CVD) is the leading cause of mortality worldwide, while depression is highly prevalent in this patient population and has long been regarded as an independent risk ...
Abstract: The classification and recognition of household appliance loads is of great significance for understanding user electricity consumption behavior, optimizing electricity planning, and ...
Abstract: The paper considers automated methods of cardiac diagnostics with a preliminary conclusion about cardiac arrhythmias in a patient. The importance of this task stems from insufficient ...
Background: Fraud is a type of financial crime risk that poses threats to customers and banks. There're multiple typologies within fraud such as authorised and unauthorised digital, payment, credit ...
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