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Substance Use Disorders Affecting Sleep01:24

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Substance use disorders involve a pattern of using drugs more extensively than intended and continuing use despite harmful consequences. This includes legal substances like alcohol and nicotine, as well as illegal drugs. These disorders often involve both physical and psychological dependence, reflecting compulsive use of substances that significantly alter thoughts, feelings, and behaviors, contributing to a major public health issue.
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Drug dependence, abuse, and addiction are complex phenomena that can precipitate various abnormal states. Physical dependence refers to a state of pharmacological adaptation to a drug. This adaptation often results in tolerance—a reduced response to the drug after repeated administrations. When the drug use is abruptly stopped, withdrawal symptoms occur due to the body's need to readjust from the pharmacologically induced imbalance. However, tolerance and withdrawal symptoms do not...
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物質使用分類の改良：大規模データ収集を強化するためのオントロジーフレームワーク

Chi-Hua Lu1, Kenneth E Leonard2, Werner Ceusters3

  • 1University at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, USA.

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まとめ
この要約は機械生成です。

物質使用障害データの精度向上のため、Addiction Substance Ontology (ASO)を開発しました。この新しいオントロジーは、物質の分類を標準化し、追跡と公衆衛生介入を改善します。

キーワード:
物質使用障害オントロジーデータ分類公衆衛生疫学

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科学分野:

  • 生物医学情報学
  • 公衆衛生
  • オントロジー工学

背景:

  • 物質使用障害 (SUD) は、米国における重大な公衆衛生上の課題です。
  • 現在の物質分類方法は曖昧さを導入し、SUDの傾向を追跡する上でのデータの精度と一貫性に影響を与えます。
  • ニューヨーク州のAddiction Services and Support Officeは、連邦報告と公衆衛生イニシアチブのために信頼できるデータを必要としています。

研究 の 目的:

  • Addiction Substance Ontology (ASO)の基礎構造を確立すること。
  • SUDデータの精度と一貫性を向上させるための物質分類における課題に対処すること。
  • 物質の取得と使用を追跡するための標準化された分類法を作成すること。

主な方法:

  • オントロジー開発のためにBasic Formal Ontology (BFO)の原則を適用しました。
  • 化学組成と使用特性に基づいた属と種差を用いて物質クラスを定義しました。
  • プログラム加入のユースケースに基づいて、最初の143クラスを開発しました。

主要な成果:

  • Addiction Substance Ontology (ASO)の基礎が開発されました。
  • ASOは、SUDに関連する物質を分類するための構造化された分類法を提供します。
  • 最初の143の物質クラスが作成されました。

結論:

  • ASOは、SUDデータの信頼性を向上させるための堅牢なフレームワークを提供します。
  • ASOの改良と検証には、さらなるパイロットテストとステークホルダーの協力が不可欠です。
  • ASOの成功裏の実装は、SUDパターンの追跡を改善し、公衆衛生介入に情報を提供することができます。