Prediction of Prostate Cancer From Routine Laboratory Markers With Automated Machine Learning.

Journal: Journal of clinical laboratory analysis
PMID: 39828871

Abstract

BACKGROUND: In this study, we attempted to select the optimum cases for a prostate biopsy based on routine laboratory test results in addition to prostate-specific antigen (PSA) blood test using H2O automated machine learning (AutoML) software, which includes many common machine learning algorithms.

Authors

  • Atilla Satır
    Department of Urology, University of Health Sciences, Bursa Yuksek Ihtisas Training and Research Hospital, Bursa, Turkey.
  • Yasemin Üstündağ
    Department of Medical Biochemistry, University of Health Sciences, Bursa Yuksek Ihtisas Training and Research Hospital, Bursa, Turkey.
  • Meryem Rümeysa Yeşil
    Department of Medical Biochemistry, University of Health Sciences, Bursa Yuksek Ihtisas Training and Research Hospital, Bursa, Turkey.
  • Kağan Huysal
    Department of Medical Biochemistry, University of Health Sciences, Bursa Yuksek Ihtisas Training and Research Hospital, Bursa, Turkey.

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