ThalPred: a web-based prediction tool for discriminating thalassemia trait and iron deficiency anemia.

Journal: BMC medical informatics and decision making
PMID: 31699079

Abstract

BACKGROUND: The hypochromic microcytic anemia (HMA) commonly found in Thailand are iron deficiency anemia (IDA) and thalassemia trait (TT). Accurate discrimination between IDA and TT is an important issue and better methods are urgently needed. Although considerable RBC formulas and indices with various optimal cut-off values have been developed, distinguishing between IDA and TT is still a challenging problem due to the diversity of various anemic populations. To address this problem, it is desirable to develop an improved and automated prediction model for discriminating IDA from TT.

Authors

  • V Laengsri
    Center for Research and Innovation, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand.
  • W Shoombuatong
    Center of Data Mining and Medical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand.
  • W Adirojananon
    Department of Clinical Microscopy, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand.
  • C Nantasenamat
    Center of Data Mining and Medical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand.
  • V Prachayasittikul
    Department of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand.
  • P Nuchnoi
    Center for Research and Innovation, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand. pornlada.nuc@mahidol.ac.th.

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