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Multi-criteria decision making to validate performance of RBC-based formulae to screen [Formula: see text]-thalassemia trait in heterogeneous haemoglobinopathies.

Atul Kumar JainPrashant SharmaSarkaft SalehTuphan Kanti DolaiSubhas Chandra SahaRashmi BaggaAlka Rani KhadwalAmita TrehanIzabela NielsenAnilava KavirajReena DasSubrata Saha
Published in: BMC medical informatics and decision making (2024)
We addressed the issue of how to integrate the higher-ranked formulae in mass screening to ensure higher performance through the MCDM approach. In real-life practice, it is sufficient for a screening algorithm to flag a particular sample as requiring or not requiring further specific confirmatory testing. Implementing discriminate functions in routine screening programs allows early identification; consequently, the cost will decrease, and the turnaround time in everyday workflows will also increase. Our proposed two-step procedure expedites such a process. It is concluded that for mass screening of BTT in a heterogeneous set of data, SCS[Formula: see text] and its web application SUSOKA can provide 100% sensitivity when MCV[Formula: see text] 80 fl.
Keyphrases
  • smoking cessation
  • human milk
  • healthcare
  • primary care
  • public health
  • machine learning
  • gene expression
  • minimally invasive
  • quality improvement
  • electronic health record
  • preterm infants
  • single cell