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相关概念视频

Drug Dosage Regimen: Overview01:15

Drug Dosage Regimen: Overview

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A drug dosage regimen describes the specific instructions and schedule for administering a drug to a patient. It considers factors such as drug dosage, frequency, route of administration, and duration of treatment. Designing an appropriate dosage regimen for a patient aims to achieve a target drug concentration at the site of action.
Typically, the starting dose and dosing interval are guided by the manufacturer's recommendations based on clinical trials conducted during and after drug...
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Dosage Regimen: Fixed Dose01:01

Dosage Regimen: Fixed Dose

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Fixed-dose regimens are a common approach to administer drugs to achieve and maintain desired levels of the drug in the body. In this dosing strategy, a specific amount of medication is given at regular intervals, often multiple times a day, to ensure a consistent drug concentration in the bloodstream.
Fixed-dose regimens can be used for various routes of administration, including intravenous (IV) injections and oral medications. For IV administration, a predetermined amount of the drug is...
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Drug Nomenclature01:17

Drug Nomenclature

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During the development of a new pharmaceutical, the manufacturer initially assigns a code name to the drug. Once approved, the drug receives a United States Adopted Name (USAN)—a generic, nonproprietary designation. Upon being listed in the United States Pharmacopeia, this nonproprietary name becomes the drug's official name. Additionally, the manufacturer assigns a proprietary name or trademark, which serves as the brand name under which the drug is marketed. It is worth noting that...
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Rational Dosage Regimen: Maintenance Dose and Loading Dose01:24

Rational Dosage Regimen: Maintenance Dose and Loading Dose

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A rational dosage regimen considers a drug's pharmacokinetics, including its absorption, distribution, metabolism, and elimination from the body. By understanding these factors, the appropriate dosage can be determined, and the dosing schedule can be designed to achieve and maintain the desired therapeutic effect while minimizing adverse effects.
In most cases, drugs are administered repetitively or infused continuously to maintain a steady-state concentration in the body. At a steady...
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Prescription, Nonprescription and Orphan Drugs01:02

Prescription, Nonprescription and Orphan Drugs

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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...
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Guidelines for Nursing Documentation I01:30

Guidelines for Nursing Documentation I

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Quality documentation and reporting share essential characteristics that ensure they are practical and valuable resources for those who use them. These characteristics are:
Factual:  
The following points emphasize the significance of upholding accurate and unbiased documentation in healthcare.
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相关实验视频

Updated: May 15, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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ATCodeR:一个基于字典的R工具,用于标准化药物自由文本.

Isabel Schnorr1,2, Stefanie Andreas3,4, Linnea Schumann3

  • 1Faculty of Medicine, Institute for Digital Medicine and Clinical Data Sciences, Goethe University Frankfurt, Frankfurt, Germany. I.Schnorr@med.uni-frankfurt.de.

Scientific reports
|April 10, 2025
PubMed
概括

本研究引入了一个R工具,将瘤学药物数据从自由文本结构化为解剖治疗化学 (ATC) 系统. 该工具实现了88.5%的准确性,改善了用于癌症研究的现实数据分析.

关键词:
这是一个ATC代码.一个字典词典词典语言处理语言处理.药物词典 药物词典这是一个R-tool工具.标准化自由文本的标准化一个物质词典.

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科学领域:

  • 在瘤学瘤学.
  • 医疗信息学 医疗信息学
  • 临床数据科学 临床数据科学

背景情况:

  • 瘤治疗研究受到医疗记录中的非结构化药物数据的阻碍.
  • 对治疗模式和结果进行真实世界数据 (RWD) 分析需要结构化的信息.
  • 临床数据科学需要有效的工具来处理瘤学中的RWD.

研究的目的:

  • 开发一个用户友好的R工具,用于将自由文本药物条目转换为解剖治疗化学 (ATC) 分类系统.
  • 加强使用结构化RWD的全身抗癌治疗方法的分析.
  • 提高德语地区瘤数据分析的标准化和效率.

主要方法:

  • 在R工具中使用基于字典的方法将自由文本药物数据映射到ATC代码.
  • 该工具输出了一个结构化数据框架,其中列为抗瘤药物和其他药物.
  • 验证包括从评估数据集中审查561个数据输入 (935个令牌).

主要成果:

  • R工具成功将88.5%的代币转换为各自的ATC代码.
  • 从23%的数据输入中提取了额外的相关信息.
  • 手动审查发现,8.9%的代币无法转换,4.1%的代币没有提供可用的信息.

结论:

  • 开发的R工具显著改善了系统抗癌治疗数据的标准化和分析.
  • 这种方法提供了一种有效的方法来处理医疗记录中的非结构化药物信息.
  • 该工具保持了相关的准确性,以现实数据促进了更强大的瘤研究.