Robotics & Machine Learning Daily News2024,Issue(Jun.21) :34-35.

National and Kapodistrian University of Athens Reports Findings in Occupational Dermatitis (Preservative contact allergy in occupational dermatitis: a machine l earning analysis)

雅典国立和卡波迪兰大学报告职业性皮炎的发现(职业性皮炎中的防腐剂接触过敏:机器收益分析)

Robotics & Machine Learning Daily News2024,Issue(Jun.21) :34-35.

National and Kapodistrian University of Athens Reports Findings in Occupational Dermatitis (Preservative contact allergy in occupational dermatitis: a machine l earning analysis)

雅典国立和卡波迪兰大学报告职业性皮炎的发现(职业性皮炎中的防腐剂接触过敏:机器收益分析)

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摘要

由一名新闻记者-机器人和机器学习的工作人员新闻编辑每日新闻-职业病和条件的新研究-职业皮炎是一篇报道的主题。根据NewsRx记者在希腊雅典的一篇新闻报道,研究表明:“职业性皮肤病给社会经济带来了巨大负担。与职业有关的接触性皮炎在医疗保健工作者、清洁服务人员、美容行业人员和医务工作者中普遍存在。”新闻记者从雅典国立大学和卡波地区大学的研究中获得一句话:“在危险因素中,防腐剂s的暴露是频繁的,因为它们广泛地添加在职业用途的产品中。本研究的目的是调查接触性变态反应模式,以了解对防腐剂过敏、职业特征和职业特征之间的联系。”患者的临床和人口统计学特征。斑贴试验结果来自对甲醛2%、卡松0.02%、硫柳汞0.1%和MDBGN 0.5%敏感的患者;还收集了扩展的MOAHLFA(男性职业顶部IC-手腿-脸年龄)指数的信息。为了评估变应原组和职业相关ACD之间的关系,使用独立卡方检验揭示数据中的潜在关系。应用多元对应分析(MCA)和分类主成分分析(CATPCA),发现变应原组与职业类别、特应性、手、腿、面部、躯干、颈部、头面部皮炎、临床特征、ICDRG 48h和ICDRG 72h临床评价之间存在显著相关性,MCA和CATPCA发现变应原组、职业类别、患者人口统计学特征和临床特征之间存在联系。MOAHLFA指数和ICDRG评分,发现ALE RGEN组与各种皮炎表现之间存在显著关系。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Occupational Diseases and Conditions - Occupational Dermatitis is the subject of a report. According t o news reporting originating in Athens, Greece, by NewsRx journalists, research stated, "Occupational dermatoses impose a significant socioeconomic burden. Alle rgic contact dermatitis related to occupation is prevalent among healthcare work ers, cleaning service personnel, individuals in the beauty industry and industri al workers." The news reporters obtained a quote from the research from the National and Kapo distrian University of Athens, "Among risk factors, the exposure to preservative s is frequent, since they are extensively added in products for occupational use . The goal of this study is to investigate the contact allergy patterns in order to understand the linkage among hypersensitivity to preservatives, occupational profiles, patients' clinical and demographic characteristics. Patch test result s were collected from monosensitized patients to Formaldehyde 2%, K ATHON 0.02%, thimerosal 0.1%, and MDBGN 0.5% ; information was also collected for an extended MOAHLFA (Male-Occupational-Atop ic-Hand-Leg-Face-Age) index. To assess the relationship between allergen group a nd occupational-related ACD, the chi-square test for independence was utilized. To uncover underlying relationships in the data, multiple correspondence analysi s (MCA) and categorical principal components analysis (CATPCA), which are machin e learning approaches, were applied. Significant relationships were found betwee n allergen group and: occupation class, atopy, hand, leg, facial, trunk, neck, h ead dermatitis, clinical characteristics, ICDRG 48 h and ICDRG 72 h clinical eva luation. MCA and CATPCA findings revealed a link among allergen group, occupatio n class, patients' demographic and clinical characteristics, the MOAHLFA index, and the ICDRG scores. Significant relationships were identified between the alle rgen group and various manifestations of dermatitis."

Key words

Athens/Greece/Europe/Allergens/Aller gies/Cyborgs/Dermatitis/Dermatology/Emerging Technologies/Health and Medici ne/Immune System Diseases and Conditions/Machine Learning/Occupational Dermat itis/Occupational Diseases and Conditions/Risk and Prevention/Skin Diseases a nd Conditions/Skin and Connective Tissue Diseases and Conditions

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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