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    Home > Active Ingredient News > Infection > Pain Ther: Machine learning predicts post-herpetic neuralgia in patients with herpes zoster

    Pain Ther: Machine learning predicts post-herpetic neuralgia in patients with herpes zoster

    • Last Update: 2021-09-18
    • Source: Internet
    • Author: User
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    Introduction: Post-herpetic neuralgia (PHN) is a kind of neuropathic pain secondary to herpes zoster
    .


    Studies have shown that early pain intervention can reduce the incidence of PHN or pain intensity


    Post-herpetic neuralgia (PHN) is a kind of neuropathic pain secondary to herpes zoster


    Methods: Retrospective analysis of 520 patients with herpes zoster
    .


    Through univariate analysis, the risk factors related to PHN were determined


    Results: Age, NRS score, rash location, Charlson Comorbidity Index (CCI) score, antiviral therapy and immunosuppression were related to the occurrence of PHN
    .


    NRS score is most closely the relevant factors , the importance 0.


    Age, NRS score, rash location, Charlson Comorbidity Index (CCI) score, antiviral therapy and immunosuppression are related to the occurrence of PHN


    Table 1 Logistic regression results

    Table 1 Logistic regression results

    Graph the importance of each factor

    Graph the importance of each factor

    Table 2 Comparison between random forest and logistic regression

    Table 2 Comparison between random forest and logistic regression

    Table 3 Forecast and actual results

    Table 3 Forecast and actual results

    Conclusion: This study provides an idea and method.


    Original source

    Wang XX, Zhang Y, Fan BF, Predicting Postherpetic Neuralgia in Patients with Herpes Zoster by Machine Learning: A Retrospective Study.


    Predicting Postherpetic Neuralgia in Patients with Herpes Zoster by Machine Learning: A Retrospective Study.
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