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相关概念视频

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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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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Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

51
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
51
Drug Elimination: Non-Renal Routes01:23

Drug Elimination: Non-Renal Routes

2.3K
The liver plays a pivotal role in eliminating drugs and their metabolites, primarily through a process known as biliary excretion. This process involves the hepatocytes, the primary cells in the liver that generate bile. A range of transporters actively expels polar drugs or hydrophilic drug metabolites into the bile, which transports the drugs and metabolites into the small intestine. From here, they are eventually expelled from the body through feces. In some instances, the original drug or a...
2.3K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

64
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
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Drug Administration and Therapy Phases: Overview01:26

Drug Administration and Therapy Phases: Overview

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Drugs, the chemical agents used in diagnosing, treating, or preventing diseases, undergo a four-phase process of development: pharmaceutic, pharmacokinetics, pharmacodynamics, and therapeutic.
The pharmaceutical phase focuses on leveraging the physicochemical properties of the drug to design and manufacture an effective product. Variants include orally administered tablets or capsules, topical creams or ointments, and parenteral-delivery solutions or emulsions.
The pharmacokinetic phase...
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相关实验视频

Updated: Jun 15, 2025

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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从半结构化处方中自动提取药物数据.

Johannes Benedict Oehm1, Oliver Wenning1,2, Michael Storck1

  • 1Institute of Medical Informatics, University of Münster, Münster, Germany.

Studies in health technology and informatics
|August 23, 2024
PubMed
概括

这项研究通过比较文本分析方法来增强药物处方数据处理. 一种有条件随机场 (CRF) 方法在分类德国处方字段方面实现了近95%的准确性.

关键词:
在 ETLTL 中,您可以使用 ETL.药物治疗 药物治疗 药物治疗在NLP中,我们使用了NLP.

更多相关视频

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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相关实验视频

Last Updated: Jun 15, 2025

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科学领域:

  • 医疗信息学 医疗信息学
  • 自然语言处理自然语言处理.
  • 计算语言学 计算语言学

背景情况:

  • 医疗保健数据,包括药物处方,在自由文本字段中通常是无结构的.
  • 这种非结构化格式阻碍了自动数据处理和研究的二次使用.
  • 开发从临床笔记中提取结构化数据的方法至关重要.

研究的目的:

  • 为了比较不同的计算方法来识别和分类德国自由文本药物处方中的成分.
  • 评估基于Levenstein,基于规则和基于条件随机场 (CRF) 的方法的有效性.

主要方法:

  • 基于Levenshtein的字符串匹配的实现和比较.
  • 开发和应用基于规则的模式识别系统.
  • 使用条件随机字段 (CRF) 进行序列标记和文本元素的分类.
  • 使用F1得分来衡量分类准确性的评估.

主要成果:

  • 基于规则和基于CRF的方法实现了F1得分超过90%.
  • 基于CRF的方法表现出卓越的性能,达到近95%的准确性.
  • 与基于规则的方法和CRF方法相比,基于简单的Levenstein方法的效率较低.

结论:

  • 基于CRF的方法提供了一个非常准确的解决方案,用于结构化非结构化的德国处方药数据.
  • 处方成分的自动分类是可行的,并大大提高了研究数据的可用性.
  • 这些发现支持在临床数据管理中采用先进的NLP技术.