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| http://dx.doi.org/10.46747/cfp.6909620 | DOI Listing |
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Developing a decision support tool to predict delayed discharge from hospitals using machine learning.
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Department of Industrial Engineering, Dalhousie University, PO Box 15000, Halifax, B3H 4R2, NS, Canada.
Background: The growing demand for healthcare services challenges patient flow management in health systems. Alternative Level of Care (ALC) patients who no longer need acute care yet face discharge barriers contribute to prolonged stays and hospital overcrowding. Predicting these patients at admission allows for better resource planning, reducing bottlenecks, and improving flow.
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Division of Thoracic Surgery, Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA.
Overusing blood cultures (BCxs) can lead to false positives, unnecessary antibiotics, and increased healthcare costs. Despite studies on inpatient BCx algorithms, none have focused on cardiothoracic surgery (CTS) patients, with complex postoperative care and invasive devices. This study aimed to evaluate the impact of a BCx algorithm on BCx event (BCE) rates in CTS step-down units.
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Department of Urology, Health Science University Eskisehir City Health Application and Research Center, 26080 Eskisehir, Turkey.
To establish a machine learning (ML) model for predicting prostate biopsy outcomes using prostate-specific antigen (PSA) values, multiparametric magnetic resonance imaging (mpMRI) findings, and hematologic parameters. The medical records of the patients who had undergone a prostate biopsy were evaluated. Laboratory findings, mpMRI findings, and prostate biopsy results were collected.
View Article and Find Full Text PDFNon-Invasive Biomarkers and Breath Tests for Diagnosis and Monitoring of Chronic Liver Diseases.
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Pediatric Liver Center, Department of Pediatric Gastroenterology, Hepatology and Nutrition, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Chronic liver disease (CLD) presents a significant global health burden, demanding effective tools for diagnosis and monitoring. Traditionally, liver biopsy has been the gold standard for evaluating liver fibrosis and other chronic liver conditions. However, biopsy's invasiveness, associated risks, and sampling variability indicate the need for reliable, noninvasive alternatives.
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Autoimmun Rev
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Rheumatology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy; University of Modena and Reggio Emilia, Modena, Italy. Electronic address:
Giant cell arteritis (GCA), also known as temporal arteritis, is the most common form of vasculitis in the elderly. While initially described as involving the temporal arteries, GCA can also affect the aorta and its major branches. Despite the increased use of imaging modalities and the availability of temporal artery biopsy, diagnosing GCA remains challenging.
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