Information in EMRs can be entered as structured codes or unstructured free text. The majority of research studies have used only coded parts of EMRs for case-detection, which may bias …

2019年10月23日 · To tackle these problems, we developed a model called Medical Text Generative Adversarial Network or mtGAN, to generate synthetic EMR text. It is based on the …

Machine learning (ML) and Natural Language Processing (NLP) have achieved remarkable success in many fields and have brought new opportunities and high expectation in the …

2012年7月2日 · 在 EMR 文档集的构建和预处理基础上, 建立命名实体规则、 分类词表和领域本体, 根据用户需要, 利用文本工程通用框架 ( GATE) 进行相关主题的中文 EMR 信息抽取和统计分 …

2025年1月26日 · The rapid digitization of electronic medical record (EMR) text notes has notably improved data analysis and patient care but also introduced data privacy challenges. Named …

In this study, we developed TestIME (Testing Input Method Engines), which is able to record the behavior of participants in EMR text entry tasks, so as to improving the efficiency of IMEs. …

Background: Electronic medical records (EMR) are a potential source of syndromic data for surveillance, but require text processing algorithms to extract relevant data. Methods & …

2022年1月13日 · Preparatory -- Introduction to EMS systems -- EMR safety and wellness -- Medical, legal and ethical issues -- Medical terminology -- Anatomy and physiology -- Life span …

OpenText™ EMR Integration streamlines the exchange of orders, requisitions, and reports between diagnostic centers and their clinic and physician customers. Delivered as a managed …

The text is designed as the primary source of technical information for participants and instructors. It includes key terms, learning objectives, critical facts and scenarios to test knowledge and …