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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7398792 | PMC |
| http://dx.doi.org/10.1016/j.jvir.2019.07.018 | DOI Listing |
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Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
View Article and Find Full Text PDFSelf-Management Strategies for Low Back Pain Among Horticulture Workers: Protocol for a Type II Hybrid Effectiveness-Implementation Study.
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Department of Pediatrics, School of Medicine, University of Virginia, Charlottesville, VA, United States.
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Association between chiropractic spinal manipulation for sciatica and opioid-related adverse events: A retrospective cohort study.
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Clinical Research Center, University Hospitals Cleveland Medical Center, Cleveland, Ohio, United States of America.
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