Support Vector Machine versus Multiple Logistic Regression for Prediction of Postherpetic Neuralgia...
Support Vector Machine versus Multiple Logistic Regression for Prediction of Postherpetic Neuralgia in Outpatients with Herpes Zoster
About this item
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Author / Creator
Zhang, Jie , Ding, Qiao , Li, Xiu-Liang , Hao, Yi-Wei and Yang, Ying
Publisher
United States: American Society of Interventional Pain Physician
Journal title
Language
English
Formats
Publication information
Publisher
United States: American Society of Interventional Pain Physician
Subjects
More information
Scope and Contents
Contents
Postherpetic neuralgia (PHN), as the most common complication of herpes zoster (HZ), is very refractory to current therapies. Studies of HZ have indicated that early aggressive pain interventions can effectively prevent PHN; therefore, accurately predicting PHN in outpatients with HZ and treating HZ promptly, would be of great benefit to patients....
Alternative Titles
Full title
Support Vector Machine versus Multiple Logistic Regression for Prediction of Postherpetic Neuralgia in Outpatients with Herpes Zoster
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_miscellaneous_2672706779
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2672706779
Other Identifiers
ISSN
1533-3159,2150-1149
E-ISSN
2150-1149
