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BIR:使用变压器在电子健康记录中用于癌症治疗的生物医学信息检索系统

Pir Noman Ahmad¹, Yuanchao Liu¹, Khalid Khan²

¹School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.

Sensors (Basel, Switzerland)

|December 9, 2023

概括

这项研究引入了一种新的生物医学信息检索 (BIR) 系统,使用变压器来改进电子健康记录 (EHR) 数据挖掘. 该系统通过准确预测EHRs的癌症治疗来增强临床决策.

科学领域:

生物医学信息学生物医学信息学
人工智能的人工智能
自然语言处理自然语言处理.

背景情况:

电子健康记录 (EHR) 产生了大量的生物医学数据,这给寻求及时患者信息的临床医生带来了挑战.
现有的生物医学信息检索 (BIR) 系统难以解释EHR数据中的复杂关系.
变压器是一种强大的神经网络类型,在自然语言处理 (NLP) 任务中表现出色.

研究的目的:

开发和评估一个新的BIR系统,利用变压器从EHR中增强信息检索.
通过理解复杂实体关系,从EHR数据中改进对癌症治疗的预测.
提高临床决策支持BIR系统的效率和准确性.

主要方法:

提出了一个新的BIR系统,利用变压器神经网络进行EHR数据分析.
实施了基于EHR内部复杂关系预测癌症治疗途径的系统.
对不同类型的EHR数据集进行系统性能评估,并与最先进的BIR系统对比.

主要成果:

基于变压器的BIR系统在医疗问题回答和信息提取任务中表现出卓越的性能.
在预测来自EHR的癌症治疗时,获得了86.46%的准确率和0.8157的F1得分.
在检索相关的临床信息方面,超越了现有的最先进的BIR系统.

结论:

变压器代表了EHR环境中的BIR系统的有希望的进步.
开发的系统可以显著帮助临床医生更有效地获取关键患者信息.
从电子健康记录中获取信息的改进有可能提高患者护理的整体质量.

关键词:

生物医学信息检索获取癌症治疗治疗治疗癌症电子健康记录电子健康记录医疗保健医疗保健医疗保健医疗保健变压器变压器变压器

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