机器学习模型自动分类青素药物不良反应标签
Joshua M Inglis1,2,3, Stephen Bacchi1,2, Alexander Troelnikov2,4,5
1Department of Clinical Pharmacology, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
Internal medicine journal
|August 20, 2023
概括
机器学习模型使用自由文本描述准确地分类青素药物不良反应 (ADR) 标签. 这些模型在识别患者进行青素ADR评估时具有实际价值,与专家的表现相匹配.
科学领域:
- 药监和药物安全 药监和药物安全
- 医疗保健中的人工智能
- 临床信息学 临床信息学
背景情况:
- 准确评估青素药物不良反应 (ADR) 标签越来越重要.
- 现有的分类青素不良反应的方法需要改进,以便更广泛地应用.
研究的目的:
- 开发和验证机器学习模型,使用自由文本反应描述对青素ADR标签进行分类.
- 将这些模型的性能与专家对过敏/不耐受性分类和高风险过敏的识别标准进行评估.
主要方法:
- 开发机器学习模型,利用青素反应的自由文本描述.
- 开发模型的外部和实际验证.
- 模型性能与既定专家标准的比较.
主要成果:
- 机器学习模型的表现与专家标准相提并论.
- 模型有效地对过敏或不耐受性进行了分类.
- 高风险过敏症被模型准确地识别出来.
结论:
- 机器学习模型为分类青素ADR标签提供了一种可行的方法.
- 这些模型在识别个人进行青素ADR评估时具有实际实用性.
- 建议进行进一步的实施研究,以将这些模型纳入临床实践.
更多相关视频
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
8.3K
09:16Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
Published on: June 18, 2020
6.9K
相关概念视频
Pharmacovigilance
889
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...
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...
889
Allergic Drug Reactions
875
Allergic reactions related to drugs are hypersensitivity responses driven by the immune system and bear no connection to the drug's therapeutic action. While drugs in isolation do not trigger an immune response, they can interact with endogenous proteins to form antigens. These antigens stimulate lymphocytes to produce antibodies. IgE-type antibodies attach themselves to mast cells. Upon subsequent exposure to the same stimulus, the antigen-antibody interaction is initiated, unleashing...
875
Mechanistic Models: Overview of Compartment Models
112
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
112
Allergic Reactions
27.8K
Overview
27.8K
