Robotics & Machine Learning Daily News2024,Issue(Dec.4) :189-190.

Sichuan University Reports Findings in Vulvar Diseases and Conditions (Developme nt and Validation of a Machine Learning-Based Early Warning Model for Lichenoid Vulvar Disease: Prediction Model Development Study)

四川大学报道外阴疾病和状况的发现(基于机器学习的苔癣样外阴疾病预警模型的开发和验证:预测模型开发研究)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :189-190.

Sichuan University Reports Findings in Vulvar Diseases and Conditions (Developme nt and Validation of a Machine Learning-Based Early Warning Model for Lichenoid Vulvar Disease: Prediction Model Development Study)

四川大学报道外阴疾病和状况的发现(基于机器学习的苔癣样外阴疾病预警模型的开发和验证:预测模型开发研究)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-泌尿生殖系统疾病和疾病的新研究-外阴疾病和疾病是一份报告的主题。根据成都外的新闻报道,作者:NewsRx编辑ORS,研究称,“考虑到地衣样外阴部(LVD)的复杂性和多样性。”因此,积极探索这些风险因素并利用这些因素构建个性化预警模型至关重要评估患者疾病风险的相关临床变量。但到目前为止,研究不足,在全国和国际范围内,关于LVD的风险因素和预警模型。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Urogenital Diseases an d Conditions - Vulvar Diseases and Conditionsis the subject of a report. Accord ing to news reporting out of Chengdu, People’s Republic of China, byNewsRx edit ors, research stated, “Given the complexity and diversity of lichenoid vulvar di sease (LVD)risk factors, it is crucial to actively explore these factors and co nstruct personalized warning models usingrelevant clinical variables to assess disease risk in patients. Yet, to date, there has been insufficient research,bo th nationwide and internationally, on risk factors and warning models for LVD.”

Key words

Chengdu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Female Genital Diseases and Conditions/Femal e Urogenital Diseases and Conditions/Health and Medicine/Machine Learning/Ris k and Prevention/Vulvar Diseases and Conditions/Women’s Health

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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