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相关概念视频

Clinical Trials01:16

Clinical Trials

8.4K
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...
8.4K
Clinical Trials: Overview01:11

Clinical Trials: Overview

3.4K
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...
3.4K
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

533
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
533
Preclinical Development: Overview01:28

Preclinical Development: Overview

4.8K
Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
4.8K
Anatomical Terminology01:20

Anatomical Terminology

19.7K
Knowledge of anatomy is essential to understand human biology and medicine. Anatomists and health care professionals use standard terminology to describe the human body with more precision and no ambiguity. Anatomical terms have mostly Greek and Latin-derived roots. Because these languages are rarely used in conversation, the meaning of words remains the same. Each term is made up of a root in between the prefixes and suffixes. The root of a term often refers to an organ, tissue, or condition,...
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相关实验视频

Updated: Sep 12, 2025

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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开发和评估用于教学临床试验协议的技术术语提取工具.

Naoki Nishimoto1, Ayako Yagahara2, Ken Sakushima3

  • 1Data Science Center, Promotion Unit, HELIOS, Hokkaido University Hospital, Sapporo, Japan.

Studies in health technology and informatics
|August 8, 2025
PubMed
概括
此摘要是机器生成的。

通过增强自然语言处理 (NLP) 工具,可以改进临床研究协议的计算机辅助教学. 对于医学和临床试验术语的NLP准确性显示出基于规则的改进的潜力,解决表达变化.

关键词:
临床试验的数据管理.协议 协议 协议 协议在这里,Python是Python.

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TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

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相关实验视频

Last Updated: Sep 12, 2025

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

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科学领域:

  • 医疗信息学 医疗信息学
  • 计算语言学 计算语言学

背景情况:

  • 临床研究协议教育需要准确提取医疗和试验相关术语.
  • 现有的自然语言处理 (NLP) 工具和统一医疗语言系统 (UMLS) 用于术语提取.

研究的目的:

  • 评估NLP工具在提取临床研究协议的术语时的准确性.
  • 确定这些协议的计算机辅助教学需要改进的领域.

主要方法:

  • 利用现有的NLP工具和UMLS作为术语提取字典.
  • 执行了提取术语的手动验证.
  • 分析了与手动验证不匹配的术语,以寻找潜在的基于规则的改进.

主要成果:

  • 在671个独特条款和939个不匹配的总条款中,68.9%的独特条款和55.2%的总条款被认为是可改进的.
  • 基于规则的方法显示了提高术语提取精度的潜力.

结论:

  • 计算机辅助可以支持表达调整在教学临床研究协议.
  • 以特定领域的术语来增强NLP工具,并解决表达式变异是提高准确性的关键.