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相关概念视频

Pharmacovigilance01:19

Pharmacovigilance

993
Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
993
Prescription, Nonprescription and Orphan Drugs01:02

Prescription, Nonprescription and Orphan Drugs

846
Prescription drugs require a prescription from a medical practitioner and can only be obtained from a pharmacy. They have many applications, including treating pain, anxiety, and hypertension.
The misuse and addiction to prescription drugs is a growing problem that can affect people of all age groups, specifically teenagers. This can happen when prescription medications are used in ways not intended by the prescriber, such as taking someone else's prescription or using medication for...
846
Drug Concentration Versus Time Correlation01:15

Drug Concentration Versus Time Correlation

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The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
1.2K
Drug Concentrations: Measurements01:23

Drug Concentrations: Measurements

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Drug concentration is the quantity of a drug present in a biological sample. Measuring drug amounts in biological samples allows the clinician to understand how a drug is absorbed, distributed, metabolized, and excreted. Samples can be obtained through invasive or non-invasive methods. Invasive techniques involve surgical or parenteral interventions to gather blood, cerebrospinal fluid, or tissue biopsy. Conversely, non-invasive approaches provide samples like urine, feces, and saliva.
Plasma...
594
Drug Classes and Categories01:25

Drug Classes and Categories

2.2K
Drugs can be classified according to their chemical composition or their intended therapeutic application. For instance, anti-infective agents that possess the ability to eliminate pathogens or suppress their growth and reproduction can be grouped based on the organisms they target or their chemical structure. Furthermore, drugs can be divided into prescription, nonprescription, or controlled substances. Prescription medications, such as antibiotics, require oversight from a licensed healthcare...
2.2K
Drug Regulation01:25

Drug Regulation

1.8K
Drug regulation encompasses the management of drug usage by evaluating its safety and efficacy through assessments conducted by regulatory authorities. Regrettably, the history of drug regulation is marred by several catastrophic events. One such incident is the Elixir Sulfanilamide tragedy, in which the toxic compound diethyl glycol was included in a sweet-tasting medication, leading to numerous fatalities. This event prompted the enactment of the Food, Drug, and Cosmetic Act in 1938. Under...
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相关实验视频

Updated: Sep 12, 2025

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
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High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry

Published on: April 23, 2019

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在日本用户生成的数据中监测非处方药物滥用.

Tomohiro Nishiyama1, Shuntaro Yada2, Shoko Wakamiya1

  • 1Division of Information Science, Nara Institute of Science and Technology, Japan.

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

这项研究开发了一个系统来检测社交媒体上的非处方药 (OTC) 滥用,通过可视化药物使用趋势来帮助公共卫生.

关键词:
数据可视化 数据可视化滥用药物滥用药物滥用药物滥用药物滥用药物滥用药物机器学习 机器学习自然语言处理自然语言处理.药物监督 药物监督 药物监督文字分类 文本分类

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相关实验视频

Last Updated: Sep 12, 2025

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科学领域:

  • 公共卫生 公共卫生
  • 计算语言学 计算语言学
  • 药物监督 药物监督 药物监督

背景情况:

  • 非处方药 (OTC) 的滥用是全球重要的公共卫生问题.
  • 社交媒体数据为监测药物使用模式提供了一个潜在的来源.

研究的目的:

  • 在社交媒体数据中开发和评估一个用于检测和可视化不适当的OTC药物使用的系统.
  • 解决日本社交媒体中的语言和文化细微差别,以准确检测滥用.

主要方法:

  • 构建了一个标记的 20,036 个日本推特,包括 7,000 个与药物相关的帖子.
  • 从变压器 (BERT) 模型中微调的日本双向编码器表示,用于识别滥用模式 (例如过度使用).
  • 集成了一个可视化工具,以显示OTC药物使用的时间和分类趋势.

主要成果:

  • 该系统在识别特定的OTC药物滥用模式方面表现强.
  • 可视化工具提供了对药物滥用的时间和分类趋势的见解.
  • 错误分析强调了含糊不清的术语和社交媒体数据中的噪音带来的挑战.

结论:

  • 该模型在有足够数据的情况下显示出有效性,但在代表性不足的类别中面临局限性.
  • 需要改进语境理解和先进的技术,如更大的语言模型或数据增强.
  • 该系统用于检测OTC药物滥用和可视化趋势的方法对实时药物监测有希望,并且可以适应其他语言.