In-Silico Screening: Accurately Predicting Results of the Direct Antiglobulin Test using Commonly Available Lab Data

Abstract Introduction/Objective The Direct Antiglobulin Test (DAT) is a useful screening test to determine whether a patient’s red blood cells have been sensitized to immunoglobulin or complement. Like the majority of screening tests, the DAT compromises specificity for sensitivity in order to quick...

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Veröffentlicht in:	American journal of clinical pathology 2020-10, Vol.154 (Supplement_1), p.S159-S160
Hauptverfasser:	Cardillo, A, Syposs, C, Refaai, M
Format:	Artikel
Sprache:	eng
Schlagworte:	Bilirubin Complications Computer simulation Coombs' test Deep learning Embolism Erythrocytes Haptoglobin Hematocrit Hemoglobin Learning algorithms Machine learning Mathematical models Neural networks
Online-Zugang:	Volltext
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