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相关概念视频

Clinical Trials01:16

Clinical Trials

10.4K
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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Clinical Trials: Overview01:11

Clinical Trials: Overview

4.9K
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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Relation of DFT to z-Transform01:20

Relation of DFT to z-Transform

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The Discrete Fourier Transform (DFT) is a crucial tool for analyzing the frequency content of discrete-time signals. It converts a sequence of N samples from the time domain into its corresponding sequence in the frequency domain, where each sample represents a specific frequency component.
To understand how the DFT works, it's helpful to consider the z-transform, which is a method for representing discrete sequences in the complex frequency domain. The z-transform involves summing the...
822
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.5K
Acid and Bases: Ka, pKa, and Relative Strengths02:35

Acid and Bases: Ka, pKa, and Relative Strengths

33.1K
This lesson delves into a critical aspect of the relative strengths of acids and bases. The strength of an acid is evaluated by the acid dissociation into its conjugate base and a hydronium ion in water. The complete dissociation of a strong acid is confirmed with a very high concentration of hydronium ions. As a result, an incomplete dissociation process affirms a weak acid. Therefore, the equilibrium is in the forward direction for strong acids and backward for weak acids in these reactions.
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Genome Annotation and Assembly03:36

Genome Annotation and Assembly

20.9K
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

Updated: Jan 30, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

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基于变压器的关系提取和概念规范化,使用注释的临床试验库.

Leonardo Campillos-Llanos1, Ana Valverde-Mateos2, Adrián Capllonch-Carrión3

  • 1ILLA, CCHS CSIC, Madrid, 28037, Spain. leonardo.campillos@csic.es.

Scientific data
|January 28, 2026
PubMed
概括
此摘要是机器生成的。

这项研究介绍了CT-EBM-SP,这是西班牙自然语言处理临床试验集体. 它可以自动选择患者参加临床试验,提高研究效率.

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In Silico Clinical Trials for Cardiovascular Disease
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Establishment of a Clinic-based Biorepository
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相关实验视频

Last Updated: Jan 30, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

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In Silico Clinical Trials for Cardiovascular Disease
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Establishment of a Clinic-based Biorepository
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Establishment of a Clinic-based Biorepository

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科学领域:

  • 生物医学信息学 生物医学信息学
  • 自然语言处理自然语言处理.
  • 临床研究 临床研究

背景情况:

  • 对于临床试验患者的选择,手动审查电子健康记录 (EHR) 是耗时的.
  • 西班牙语资源的有限可用性阻碍了在西班牙语人口的临床研究中NLP的应用.

研究的目的:

  • 为了介绍CT-EBM-SP库的版本3,一个全面的西班牙临床试验数据集.
  • 为了促进使用NLP技术的自动化患者资格查.
  • 在西班牙语临床文本中推进医学概念规范化和关系提取.

主要方法:

  • 开发并注释了CT-EBM-SP集体 (1200次试验,292,173个令牌) 与23个实体和18个关系类型.
  • 包括UMLS语义组,药物信息,时间数据,否定和猜测.
  • 将11个属性和标准化实体编码为UMLS概念唯一标识符 (CUI).
  • 对实体,属性和关系进行评估的注释者间协议 (IAA).
  • 用于关系提取 (RE) 和医疗概念规范化 (MCN) 的基准变压器模型.

主要成果:

  • 在实体 (F1=0.861),属性 (F1=0.810) 和关系 (F1=0.791) 中实现了高IAA.
  • 在IAA高的实体中,成功实现了81.75%的正常化 (F1=0.966).
  • 变压器型号取得了强的性能:RE (平均 F1 0.858-0.879) 和MCN (精度为0.896在第1位).

结论:

  • CT-EBM-SP集体是西班牙临床试验中NLP研究的宝贵资源.
  • 开发的模型证明了变压器架构对于RE和MCN任务的有效性.
  • 库和模型的公共可用性支持西班牙语临床试验招聘和NLP的进一步进展.