Machine learning classification of false-positive human immunodeficiency virus screening results

Mahmoud Elkhadrawi¹, Bryan A Stevens², Bradley J Wheeler³, Murat Akcakaya¹, Sarah Wheeler^4
1 Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA
² Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
³ Department of Pathology, School of Computing and Information, University of Pittsburgh, Pittsburgh, PA, USA
⁴ Department of Pathology, School of Medicine, University of Pittsburgh; Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA

Correspondence Address:
Dr. Sarah Wheeler
Department of Pathology, School of Medicine, University of Pittsburgh; Department of Pathology, University of Pittsburgh Medical Center; Clinical Laboratory Building, 3477 Euler Way, Pittsburgh, PA 15213
USA

Source of Support: None, Conflict of Interest: None

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Read associated Erratum: Erratum: Machine learning classification of false-positive human immunodeficiency virus screening results with this article

DOI: 10.4103/jpi.jpi_7_21