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Acute chest pain is one of the most common reasons for ED visits in the United States. Most patients are eventually admitted to the hospital to "rule out ACS" even when there are no significant EKG abnormalities or elevated cardiac enzymes. In addition to undergoing expensive tests while in the hospital, patients are also exposed to iatrogenic harm thereby worsening the overall healthcare costs.

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Predicting risk of maternal critical care admission in Scotland: Development of a risk prediction model.

J Intensive Care Soc

January 2025

Department of Anaesthesia, Critical Care, and Pain Medicine, Royal Infirmary of Edinburgh, University of Edinburgh, Edinburgh, UK.

Background: Identifying women at highest or lowest risk of perinatal intensive care unit (ICU) admission may enable clinicians to risk stratify women antenatally so that enhanced care or elective admission to ICU may be considered or excluded in birthing plans. We aimed to develop a statistical model to predict the risk of maternal ICU admission.

Methods: We studied 762,918 pregnancies between 2005 and 2018.

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Defining quantum games.

EPJ Quantum Technol

January 2025

Department of Media, Aalto University School of Arts, Design and Architecture, Espoo, Finland.

In this research article, we survey existing quantum physics-related games and, based on this survey, propose a definition for the concept of quantum games. We define a quantum game as any type of rule-based game that either employs the principles of quantum physics or references quantum phenomena or the theory of quantum physics through any of three proposed dimensions: the perceivable dimension of quantum physics, the dimension of quantum technologies, and the dimension of scientific purposes, such as citizen science or education. We also discuss the concept of quantum computer games, which are games on quantum computers, as well as definitions for the concept of science games.

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Objective: This study aimed to derive a clinical prediction rule (CPR) that can predict changes in health-related quality of life at 5 months for patients with knee osteoarthritis (KOA) undergoing conservative treatment.

Methods: Patients with KOA receiving physical therapy and exercise therapy at an outpatient clinic were included in this study. The basic characteristics, medical information, and motor function test results were recorded at baseline.

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Identification of an ANCA-associated vasculitis cohort using deep learning and electronic health records.

Int J Med Inform

January 2025

Rheumatology and Allergy Clinical Epidemiology Research Center and Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital Boston MA USA. Electronic address:

Background: ANCA-associated vasculitis (AAV) is a rare but serious disease. Traditional case-identification methods using claims data can be time-intensive and may miss important subgroups. We hypothesized that a deep learning model analyzing electronic health records (EHR) can more accurately identify AAV cases.

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