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人工神经网络在医学干预中健康益处的证据综述。

A review of evidence of health benefit from artificial neural networks in medical intervention.

作者信息

Lisboa P J G

机构信息

School of Computing and Mathematical Sciences, Liverpool John Moores University, UK.

出版信息

Neural Netw. 2002 Jan;15(1):11-39. doi: 10.1016/s0893-6080(01)00111-3.

Abstract

The purpose of this review is to assess the evidence of healthcare benefits involving the application of artificial neural networks to the clinical functions of diagnosis, prognosis and survival analysis, in the medical domains of oncology, critical care and cardiovascular medicine. The primary source of publications is PUBMED listings under Randomised Controlled Trials and Clinical Trials. The rĵle of neural networks is introduced within the context of advances in medical decision support arising from parallel developments in statistics and artificial intelligence. This is followed by a survey of published Randomised Controlled Trials and Clinical Trials, leading to recommendations for good practice in the design and evaluation of neural networks for use in medical intervention.

摘要

本综述的目的是评估在肿瘤学、重症监护和心血管医学等医学领域中,将人工神经网络应用于诊断、预后和生存分析等临床功能所带来的医疗益处的证据。出版物的主要来源是随机对照试验和临床试验下的PubMed列表。神经网络的作用是在统计学和人工智能并行发展所带来的医学决策支持进展的背景下引入的。随后对已发表的随机对照试验和临床试验进行了调查,从而为设计和评估用于医学干预的神经网络的良好实践提出建议。

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