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Deciphering risk factors for severe postherpetic neuralgia in patients with herpes zoster: an interpretable machine learning approach.

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Title: Deciphering risk factors for severe postherpetic neuralgia in patients with herpes zoster: an interpretable machine learning approach.
Authors: Park SJ; Department of Medicine, Ajou University School of Medicine, Suwon, South Korea.; Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seodaemun-gu, South Korea., Han J; Department of Pharmacology, College of Medicine, The Catholic University of Korea, Seoul, South Korea.; Division of datascience, PIPET, College of medicine, The Catholic University of Korea, Seoul, South Korea., Choi JB; Department of Anesthesiology and Pain Medicine, Ajou University School of Medicine, Suwon, South Korea., Min SK; Department of Anesthesiology and Pain Medicine, Ajou University School of Medicine, Suwon, South Korea., Park J; Department of Anesthesiology and Pain Medicine, Sungkyunkwan University School of Medicine, Suwon, South Korea., Choi S; Department of Pharmacology, College of Medicine, The Catholic University of Korea, Seoul, South Korea mychloe00@catholic.ac.kr.; Division of datascience, PIPET, College of medicine, The Catholic University of Korea, Seoul, South Korea.
Source: Regional anesthesia and pain medicine [Reg Anesth Pain Med] 2026 Apr 02; Vol. 51 (4), pp. 429-436. Date of Electronic Publication: 2026 Apr 02.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: BMJ Country of Publication: England NLM ID: 9804508 Publication Model: Electronic Cited Medium: Internet ISSN: 1532-8651 (Electronic) Linking ISSN: 10987339 NLM ISO Abbreviation: Reg Anesth Pain Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Deciphering risk factors for severe postherpetic neuralgia in patients with herpes zoster: an interpretable machine learning approach.
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  Data: <searchLink fieldCode="AU" term="%22Park+SJ%22">Park SJ</searchLink>; Department of Medicine, Ajou University School of Medicine, Suwon, South Korea.; Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seodaemun-gu, South Korea.<br /><searchLink fieldCode="AU" term="%22Han+J%22">Han J</searchLink>; Department of Pharmacology, College of Medicine, The Catholic University of Korea, Seoul, South Korea.; Division of datascience, PIPET, College of medicine, The Catholic University of Korea, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Choi+JB%22">Choi JB</searchLink>; Department of Anesthesiology and Pain Medicine, Ajou University School of Medicine, Suwon, South Korea.<br /><searchLink fieldCode="AU" term="%22Min+SK%22">Min SK</searchLink>; Department of Anesthesiology and Pain Medicine, Ajou University School of Medicine, Suwon, South Korea.<br /><searchLink fieldCode="AU" term="%22Park+J%22">Park J</searchLink>; Department of Anesthesiology and Pain Medicine, Sungkyunkwan University School of Medicine, Suwon, South Korea.<br /><searchLink fieldCode="AU" term="%22Choi+S%22">Choi S</searchLink>; Department of Pharmacology, College of Medicine, The Catholic University of Korea, Seoul, South Korea mychloe00@catholic.ac.kr.; Division of datascience, PIPET, College of medicine, The Catholic University of Korea, Seoul, South Korea.
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  Data: <searchLink fieldCode="JN" term="%229804508%22">Regional anesthesia and pain medicine</searchLink> [Reg Anesth Pain Med] 2026 Apr 02; Vol. 51 (4), pp. 429-436. <i>Date of Electronic Publication: </i>2026 Apr 02.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BMJ%22">BMJ </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9804508 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1532-8651 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210987339%22">10987339 </searchLink><i>NLM ISO Abbreviation: </i>Reg Anesth Pain Med <i>Subsets: </i>MEDLINE
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        Value: 10.1136/rapm-2024-106003
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        Text: English
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      – TitleFull: Deciphering risk factors for severe postherpetic neuralgia in patients with herpes zoster: an interpretable machine learning approach.
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              Text: 2026 Apr 02
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