开发和评估一个模型,以确定有关药剂师干预临床影响的出版物
Maxime Thibault1, Cynthia Tanguay2
1Department of Pharmacy, CHU Sainte-Justine, 3175 Côte-Sainte-Catherine, Montréal, Québec, Canada; Research Center, CHU Sainte-Justine, 3175 Côte-Sainte-Catherine, Montréal, Québec, Canada.
一个新的机器学习模型显著改善了对临床干预的药房实践研究的识别,优于手动搜索. 这个工具有助于药剂师找到支持患者护理的证据.
科学领域:
- 药房实践和医疗服务研究 药房实践和医疗服务研究
- 医疗保健中的人工智能
- 信息科学 信息科学 信息科学
背景情况:
- 药剂师不断扩大的角色需要有效地确定具有临床影响力的干预措施.
- 缺乏标准化的受控词汇阻碍了药房实践研究的发现.
- 需要自动化方法来简化该领域的文献审查.
研究的目的:
- 将机器学习模型的性能与手动搜索进行比较,以确定相关的药房干预文献.
- 描述用于模型开发和评估的精选数据集.
- 评估模型在减少文献审查工作量方面的有效性.
主要方法:
- 一个基于变压器的机器学习模型被训练在每周的PubMed搜索结果.
- 两个独立的审查员在为期11个月的培训期间对标题和摘要进行了相关性选.
- 模型性能 (正预测值 (PPV) 和灵敏度) 被前性地对手动搜索进行了评估.
主要成果:
- 机器学习模型表现出优异的性能,PPV为0.310和灵敏度为0.974,而手动搜索PPV为0.046和灵敏度为0.711.
- 该模型可以消除对78%的获取出版物的手动审查的需求.
- 建立了一个由8607篇出版物组成的数据集,其中6%符合选择标准;审查员协议 (科恩的kappa) 为0.786.
结论:
- 机器学习模型有效地识别了相关的药房实践研究,显著优于手动文献搜索.
- 开发的工具为研究人员和从业人员提供了大量的工作量减轻.
- 这种模式和相关资源 (网站,通讯) 便于获取支持药剂师干预的证据.
更多相关视频
06:05The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
相关概念视频
Model Approaches for Pharmacokinetic Data: 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...
Analysis of Population Pharmacokinetic Data
Pharmacovigilance
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...
Model Approaches for Pharmacokinetic Data: Physiological Models
Pharmacokinetic Models: Overview
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
