2,500,000 anonymized BMP results for the manuscript "Automating the Detection of IV Fluid Contamination Using Unsupervised Machine Learning"
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https://figshare.com/articles/dataset/2_500_000_anonymized_BMP_results_for_the_manuscript_Automating_the_Detection_of_IV_Fluid_Contamination_Using_Unsupervised_Machine_Learning_/23805456/1
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This study was approved by the Washington University Institutional Review Board (IRB #202202030). All basic metabolic panel (BMP) measurements from inpatients at a single hospital were extracted directly from the laboratory information system (Cerner, Kansas City, USA). This encompassed 25,747,291 chemistry results measured on 2,567,403 specimens drawn from 312,721 patients. Specimens drawn from patients in cardiac arrest and any other active “code blue” specimens were excluded. Results reported as above or below a threshold value were replaced with that threshold (e.g. a sodium reported as ‘>180mEq/L’ was changed to 180mEq/L). Anion gap was calculated as sodium minus chloride and bicarbonate.
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figshare
创建时间:
2023-07-30



