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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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Bibliographic Details
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

Description
ISSN:	1532-8651
DOI:	10.1136/rapm-2024-106003