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関連する概念動画

Data Collection by Observations01:08

Data Collection by Observations

12.8K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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Archival Research01:40

Archival Research

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
16.4K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

173
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
173
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

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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...
381
Study Design in Statistics01:15

Study Design in Statistics

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A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
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Data Collection by Experiments01:13

Data Collection by Experiments

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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Updated: Sep 9, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
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Published on: October 24, 2019

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文脈に基づく証拠:OUDに関する公表されたデータを抽出,再利用,配布するための試験研究

Alexander Sheppard1, Carly Milliren2, Douglas Schatz3

  • 1University of California, Los Angeles, Los Angeles, California. ORCID: https://orcid.org/0009-0002-6259-6738.

Journal of opioid management
|September 5, 2025
PubMed
まとめ

この研究は,膨大な量のオピオイド使用障害 (OUD) 研究を合成するための新しいデータ組織法を導入しています. このアプローチにより,OUDの複雑な情報が利用可能になり,患者のケアと研究が改善されます.

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Exploring the Effects of Spaceflight on Mouse Physiology using the Open Access NASA GeneLab Platform
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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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Last Updated: Sep 9, 2025

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科学分野:

  • * 医療情報学
  • * データサイエンス
  • * 公衆衛生

背景:

  • * オピオイド使用障害 (OUD) は,広範囲にわたる研究文献で,世界的な健康上の大きな課題となっています.
  • * OUD の 膨大な 研究 成果 を 統合 する の は 大半 の 人 に 難しい こと です.
  • * 既存の情報検索方法では,OUD のデータを迅速に理解することができません.

研究 の 目的:

  • * 公開されたOUD研究のためのデータ抽出と統合方法を試行する.
  • * 既存のOUDデータを再利用し,理解を深め,グローバルに配布する.
  • * オピオイド使用障害に関する容易にアクセス可能な知識基盤を開発する.

主な方法:

  • OUDに関する752件のPubMed記事から,データツリー構造を用いて情報を整理した.
  • * レビュー記事,ケースレポート,小サンプルシリーズを除いて,論文をスクリーニングした.
  • * データ統合には,親子関係による階層的なメモシステムを使用した.

主要な成果:

  • * 4つのノートタイプ (トピック,人口,数値記述,数値記述) がデータ記述に十分であることが示された.
  • * 共有された親ノートを用いたデータ統合により,ノートの総数は72.9%減少した.
  • * データツリーの構造は,情報ノードの柔軟な拡張と縮小を可能にしました.

結論:

  • * 開発された方法は,大規模なデータセットの簡単に理解できるグループ化を容易にする.
  • * この戦略により,すべての公開されたOUDデータの効率的な抽出とアクセシビリティが可能です.
  • * データのアクセシビリティの向上により,OUDにおける患者と研究目標の改善が期待されます.