[用于泌尿外科肿瘤学决策的人工神经网络]

[Artificial neural networks for decision making in urologic oncology].

作者信息

Remzi M, Djavan B

机构信息

Service d'urologie, Université médicale de Vienne, Währinger Gürtel 18-20, 1090 Vienne, Autriche.

出版信息

Ann Urol (Paris). 2007 Jun;41(3):110-5. doi: 10.1016/j.anuro.2007.04.003.

DOI:10.1016/j.anuro.2007.04.003

PMID:18260271

Abstract

This chapter presents a detailed introduction regarding Artificial Neural Networks (ANNs) and their contribution to modern Urologic Oncology. It includes a description of ANNs methodology and points out the differences between Artifical Intelligence and traditional statistic models in terms of usefulness for patients and clinicians, and its advantages over current statistical analysis.

摘要

本章详细介绍了人工神经网络（ANNs）及其对现代泌尿肿瘤学的贡献。它包括对人工神经网络方法的描述，并指出了人工智能与传统统计模型在对患者和临床医生的有用性方面的差异，以及其相对于当前统计分析的优势。