machine learning

  1. Andy

    Objective Diagnosis of Fibromyalgia Using Neuroretinal Evaluation and Artificial Intelligence, 2022, Boquetea et al

    Abstract Background/Objective This study aims to identify objective biomarkers of fibromyalgia (FM) by applying artificial intelligence algorithms to structural data on the neuroretina obtained using swept-source optical coherence tomography (SS-OCT). Method The study cohort comprised 29 FM...
  2. SNT Gatchaman

    Stratification of hospitalized COVID-19 patients into clinical severity progression groups by immuno-phenotyping and machine learning, Mueller, 2022

    Stratification of hospitalized COVID-19 patients into clinical severity progression groups by immuno-phenotyping and machine learning Yvonne M. Mueller, Thijs J. Schrama, Rik Ruijten, Marco W. J. Schreurs, Dwin G. B. Grashof, Harmen J. G. van de Werken, Giovanna Jona Lasinio, Daniel...
  3. John Mac

    Rethinking ME/CFS Diagnostic Reference Intervals via Machine Learning & Utility of Activin B for Defining Symptom Severity (2019) Lidbury et al.

    https://www.mdpi.com/2075-4418/9/3/79
    • John Mac
    • Thread
    • 2019 activin diagnosis lidbury machine learning me/cfs paper
    • Replies: 10
    • Forum: ME/CFS research
  4. Trish

    Estimating Prevalence, Demographics and Costs of ME/CFS Using Large Scale Medical Claims Data and Machine Learning, 2018, Valdez, Proskauer et al

    Estimating Prevalence, Demographics and Costs of ME/CFS Using Large Scale Medical Claims Data and Machine Learning Ashley Valdez, Elizabeth E. Hancock, Seyi Adebayo, David Kiernicki, Daniel Proskauer, John R. Attewell, Lucinda Bateman, Alfred DeMaria Jr, Charles W. Lapp5, Peter C. Rowe and...
    • Trish
    • Thread
    • bateman epidemiology gender ratio lapp machine learning me/cfs prevalence proskauer rowe valdez
    • Replies: 53
    • Forum: ME/CFS research
  5. Andy

    A predictive algorithm to identify genes that discriminate individuals with fibromyalgia syndrome diagnosis from healthy controls, 2018, Saliqan et al

    Open access at https://www.dovepress.com/a-predictive-algorithm-to-identify-genes-that-discriminate-individuals-peer-reviewed-fulltext-article-JPR
  6. Webdog

    Press Release: IQuity Launches Healthcare Analytics Platform (predicts MS with 90% accuracy)

    IQuity has been covered in the forums before, but this looks like new news. IQuity claims they can predict Multiple Sclerosis with 90% accuracy at least 8 months before traditional methods. They also claim their approach "can be applied to any disease". IQuity Launches Healthcare Analytics...
  7. mariovitali

    Questionnaire on ME/CFS

    All, As some of you know i've been trying to identify whether there are conditions other than Infections such as EBV that may be setting the stage for ME/CFS or co-exist with ME/CFS. Machine Learning suggests that Liver-related conditions may be of particular interest. I created a...
  8. Andy

    Structural brain changes versus self-report: machine-learning classification of CFS patients, 2018, Staud et al

    Paywalled at https://link.springer.com/article/10.1007%2Fs00221-018-5301-8
    • Andy
    • Thread
    • 2018 machine learning me/cfs mri neurology paper staud
    • Replies: 0
    • Forum: ME/CFS research
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