前列腺癌的预测建模技术。

Molecular urology Pub Date : 2001-12-01 DOI:10.1089/10915360152745812

Ashutosh Tewari, Christopher Porter, J. Peabody, E. David Crawford, Raymond Demers, Christine C. Johnson, John T. Wei, George W. Divine, Colin O'Donnell, E. Gamito, Mani Menon

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引用次数: 11

摘要

在过去的几年中，出现了许多新的预测建模技术。这些方法可以单独使用，也可以与传统的建模技术结合使用，为前列腺癌的治疗提供有用的工具。调查人员应该了解这些技术，并利用它们潜在的有用属性。本综述概述了可用于开发前列腺癌管理模型的预测方法，这些模型可能对患者和临床医生有用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Predictive modeling techniques in prostate cancer.

A number of new predictive modeling techniques have emerged in the past several years. These methods can be used independently or in combination with traditional modeling techniques to produce useful tools for the management of prostate cancer. Investigators should be aware of these techniques and avail themselves of their potentially useful properties. This review outlines selected predictive methods that can be used to develop models that may be useful to patients and clinicians for prostate cancer management.

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Molecular urology

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