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Lidbury BA, Kita B, Richardson AM, et al. Rethinking ME/CFS Diagnostic Reference Intervals via Machine Learning, and the Utility of Activin B for Defining Symptom Severity. Diagnostics (Basel). 2019;9(3)doi: 10.3390/diagnostics9030079.
Lidbury, B. A., Kita, B., Richardson, A. M., Lewis, D. P., Privitera, E., Hayward, S., de Kretser, D., & Hedger, M. (2019). Rethinking ME/CFS Diagnostic Reference Intervals via Machine Learning, and the Utility of Activin B for Defining Symptom Severity. Diagnostics (Basel, Switzerland), 9(3), . https://doi.org/10.3390/diagnostics9030079
Lidbury, Brett A, et al. "Rethinking ME/CFS Diagnostic Reference Intervals via Machine Learning, and the Utility of Activin B for Defining Symptom Severity." Diagnostics (Basel, Switzerland) vol. 9,3 (2019). doi: https://doi.org/10.3390/diagnostics9030079
Lidbury BA, Kita B, Richardson AM, Lewis DP, Privitera E, Hayward S, de Kretser D, Hedger M. Rethinking ME/CFS Diagnostic Reference Intervals via Machine Learning, and the Utility of Activin B for Defining Symptom Severity. Diagnostics (Basel). 2019 Jul 19;9(3). doi: 10.3390/diagnostics9030079. PMID: 31331036; PMCID: PMC6787626.
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