Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Explore how AI-powered forensic data audits can enhance data literacy and improve air quality measurements for socio-economic ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...
Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...
This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
Skilled nursing facilities (SNFs) with a high volume of referred patients with Alzheimer disease and related dementias may work harder to manage care transitions with less availability of resources ...
Objective: To address concerns about payment adequacy in Medicare Advantage (MA) plans, a 2017 federal policy change increased risk scores and associated capitated payments for community-dwelling ...
Central retinal artery occlusion can result in permanent vision loss. Effective treatment is lacking. We conducted a phase 3, double-blind, double-dummy, randomized, controlled trial involving ...
Background Previous studies have suggested an adverse role of epicardial adipose tissue (EAT) in aortic stenosis (AS), ...
Introduction Ensuring free access to essential medicines is a cornerstone of universal health coverage, yet many countries ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results