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相关概念视频

Nursing Clinical Information System01:27

Nursing Clinical Information System

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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Clinical Trials: Overview01:11

Clinical Trials: Overview

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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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In-situ Hybridization02:31

In-situ Hybridization

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In situ hybridization (ISH) is a technique used to detect and localize specific DNA or RNA molecules in cells, tissue, or tissue sections using a labeled probe. The technique was first used in 1969 for the investigation of nucleic acids. It is currently an essential tool in scientific research and clinical settings, especially for diagnostic purposes.
Types of probes and labels
A probe is a complementary strand of DNA or RNA that binds to corresponding nucleotide sequences in a cell. Many...
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Clinical Trials01:16

Clinical Trials

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
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Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
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Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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相关实验视频

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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SemOntoMap:一种混合方法用于临床文本的语义注释.

Ons Aouina1, Jacques Hilbey1,2, Jean Charlet1,2

  • 1Sorbonne Université, Inserm, Université Sorbonne Paris-Nord, LIMICS, Paris, France.

Studies in health technology and informatics
|August 23, 2024
PubMed
概括

这项研究引入了一个无监督学习系统,用于解释电子健康记录 (EHR) 中的临床笔记. 这种方法通过提取实体和关系来提高研究和医疗保健的数据可用性,特别是用于精神病学应用.

科学领域:

  • 医疗信息学 医疗信息学
  • 自然语言处理自然语言处理.
  • 计算精神病学是一种计算精神病学.

背景情况:

  • 电子健康记录 (EHR) 包含有价值的自由文本数据用于研究.
  • 由于非结构化的语言,对临床笔记的自动解释具有挑战性.
  • 语义注释方法在特定领域的本体学方面遇到了困难,特别是在精神病学中.

研究的目的:

  • 开发一个机器可解释的EHR自由文本系统.
  • 为解决精神病学数据的语义注释方面的挑战.
  • 使用无监督学习提取与域本体学一致的实体和关系.

主要方法:

  • 使用无监督学习技术来提取实体和关系.
  • 开发了一个系统,将提取的信息与域本体学对齐.
  • 在PsyCARE项目中对60名患者出院摘要验证了系统.

主要成果:

  • 从精神病电子病历数据中成功提取了实体和关系.
  • 证明了该系统在使临床笔记能够被机器解释方面的有效性.
  • 验证了对现实世界患者出院摘要的方法.
关键词:
语义注释 语义注释 语义注释存在学嵌入式嵌入式没有监督的NLP.

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结论:

  • 无监督学习为精神病EHR数据的语义注释提供了一个可行的解决方案.
  • 拟议的系统增强了临床笔记对于研究和医疗保健改进的实用性.
  • 这种方法克服了专业领域传统语义注释的局限性.