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Rethinking ME/CFS Diagnostic Reference Intervals via Machine Learning, and the Utility of Activin B for Defining

Brett A Lidbury1, Badia Kita2, Alice M Richardson3

  • 1National Centre for Epidemiology and Population Health, RSPH, College of Health and Medicine, The Australian National University, Canberra, ACT 2601, Australia. brett.lidbury@anu.edu.au.

Diagnostics (Basel, Switzerland)
|July 24, 2019
PubMed

Keywords:
activinbiomarkerchronic fatigue syndromecytokinemachine learningmyalgic encephalomyelitispathologyreference intervals

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