Robotics & Machine Learning Daily News2024,Issue(Jun.17) :16-17.

Erasmus University Medical Center Reports Findings in Machine Learning (Using clinical text to refine unspecific condition codes in Dutch general practitioner EHR data)

伊拉斯谟大学医学中心报告了机器学习的发现(使用临床文本细化荷兰全科医生EHR数据中的非特异性条件代码)

Robotics & Machine Learning Daily News2024,Issue(Jun.17) :16-17.

Erasmus University Medical Center Reports Findings in Machine Learning (Using clinical text to refine unspecific condition codes in Dutch general practitioner EHR data)

伊拉斯谟大学医学中心报告了机器学习的发现(使用临床文本细化荷兰全科医生EHR数据中的非特异性条件代码)

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摘要

一位新闻记者兼机器人与机器学习日报的工作人员新闻编辑-机器学习的新研究是一篇报道的主题。根据NewsRx记者从荷兰鹿特丹发来的新闻报道,研究表明:“使用电子健康记录(EHR)数据库的观察性研究经常面临挑战,因为不具体的临床代码可能掩盖详细的医疗信息,阻碍精确的数据分析。我们授权评估通过利用现有的临床自由文本,在荷兰全科医生(GP)EHR数据库中将这些非特异性条件代码提炼为更具体代码的可行性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Rotterdam, Netherlands, by NewsRx journalists, research stated, “Observational studiesusing electronic health record (EHR) databases often face challenges due to unspecific clinical c odesthat can obscure detailed medical information, hindering precise data analy sis. In this study, we aimedto assess the feasibility of refining these unspeci fic condition codes into more specific codes in a Dutchgeneral practitioner (GP ) EHR database by leveraging the available clinical free text.”

Key words

Rotterdam/Netherlands/Europe/Cyborgs/Electronic Medical Records/Emerging Technologies/Information Technology/Mach ine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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