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相关概念视频

Prediction Intervals01:03

Prediction Intervals

2.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
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Biostatistics: Overview01:20

Biostatistics: Overview

280
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
280
Drug Discovery: Overview01:26

Drug Discovery: Overview

8.1K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Human Genetics01:28

Human Genetics

616
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
616
Biopharmaceutics and Pharmacokinetics: Overview01:28

Biopharmaceutics and Pharmacokinetics: Overview

2.1K
Understanding drugs, drug products, and their performance in pharmaceutical science is pivotal. Drugs, whether simple molecules or complex compounds, are designed to interact with the body's biological systems to diagnose, treat, or prevent diseases. Drug products include various delivery systems such as tablets, capsules, injections, and inhalers. The performance of these drug products is gauged by their ability to deliver the active ingredient to the desired site of action at the...
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Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

299
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
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相关实验视频

Updated: Jul 23, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

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在没有全文的情况下预测实质性的生物医学引用.

Travis A Hoppe1, Salsabil Arabi2, B Ian Hutchins2

  • 1Office of the Director, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD 20782.

Proceedings of the National Academy of Sciences of the United States of America
|July 18, 2023
PubMed
概括
此摘要是机器生成的。

生物医学引用分析可以识别研究加速. 一个新的模型将实质知识转移与同行评审的补充区分开来,揭示了美国联邦政府资助的研究在关键的基础到临床知识流中占有三倍的比例.

关键词:
人工智能的人工智能是人工智能.长椅到床边翻译引用分析 引用分析机器学习是机器学习.科学政策 科学政策

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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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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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相关实验视频

Last Updated: Jul 23, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

318

科学领域:

  • 生物医学信息学是生物医学信息学.
  • 图书统计学 图书统计学
  • 研究影响分析研究影响分析.

背景情况:

  • 生物医学引用网络为研究加速和翻译提供了洞察力.
  • 当前引用分析通常假设所有引用都代表实质性的知识转移.
  • 引用可能是由于直接知识贡献以外的其他原因而被添加的,特别是在同行评审期间.

研究的目的:

  • 开发一个预测模型来识别晚期引用,通常在同行评审期间添加.
  • 要区分实质知识转移和其他引用类型.
  • 量化美国联邦政府资助的研究对早期知识转移的贡献.

主要方法:

  • 利用了开放访问数据的全面功能集.
  • 训练了一个预测模型,只使用文章标题,摘要和之前的引用.
  • 该模型避免了全文分析和未来的引用模式,以便在早期适用.

主要成果:

  • 该模型成功地识别了后期引用,包括在审查期间添加的修辞性引用,如期刊自我引用.
  • 较低的预测分数准确地标记了早期的引用,表明实质性的知识转移.
  • 美国联邦政府资助的研究占从基础到临床研究预测的实质知识转移的30%,尽管仅占文献的10%.

结论:

  • 开发的模型有效地区分了实质知识转移与同行评审影响的引用.
  • 美国联邦政府资助的生物医学研究显示,在推动早期转化知识流动方面存在明显的过度代表性.
  • 这一发现凸显了美国联邦资助对推动生物医学研究从基础科学到临床应用产生不成比例的影响.