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A New Artificial Intelligence Approach Using Extreme Learning Machine as the Potentially Effective Model to Predict

Dimas Chaerul Ekty Saputra1, Khamron Sunat1, Tri Ratnaningsih2

  • 1Department of Computer Science and Information Technology, College of Computing, Khon Kaen University, Khon Kaen 40000, Thailand.

Healthcare (Basel, Switzerland)
|March 11, 2023
PubMed
Summary

A new automated model accurately distinguishes four common anemia types, including beta thalassemia trait (BTT), iron deficiency anemia (IDA), and hemoglobin E (HbE). This AI-driven approach accelerates diagnosis, improving patient care in resource-limited settings.

Keywords:
anemiabeta thalassemia traitcomplete blood countextreme learning machinehemoglobin Eiron deficiency anemia

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