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Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS)., , , , , , , and . J. Am. Medical Informatics Assoc., 28 (6): 1207-1215 (2021)Faster cyclic loess: normalizing RNA arrays via linear models., , , and . Bioinform., 20 (16): 2778-2786 (2004)Modeling Survival Data: Extending the Cox Model, and . Springer-Verlag, New York, (2000)A Topic-modeling Based Framework for Drug-drug Interaction Classification from Biomedical Text., , , , , , , and . AMIA, AMIA, (2016)Review of 1027 patients with newly diagnosed multiple myeloma, , , , , , , , , and 3 other author(s). Mayo Clinic Proceedings, 78 (1): 21--33 (January 2003)00000.Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing., , , , , and . Int. J. Medical Informatics, (2019)The Mayo Clinic Early Warning Score is superior to MEWS, and nursing pattern recognition can improve its accuracy further., , , , , and . AMIA, AMIA, (2018)Response to Ön the reproducibility of quantitative susceptibility mapping and its potential as a clinical biomarker: A comment on Cogswell et al. 2021"., , , , and . NeuroImage, (2022)Relationships between β-amyloid and tau in an elderly population: An accelerated failure time modelww., , , , , , , , , and 3 other author(s). NeuroImage, (2021)Selecting software pipelines for change in flortaucipir SUVR: Balancing repeatability and group separation., , , , , , , , , and 6 other author(s). NeuroImage, (2021)