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Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management
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Naguib, Raouf N. G. (EDT)/ Sherbet, G. V. (EDT) 作者
CRC Pr I Llc
譯者
2001-6 出版日期
216 頁數
$ 178.48 價格
HRD
叢書系列
9780849396922 圖書編碼

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發表於2024-09-21

Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


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Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management 在線電子書 著者簡介

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Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management 在線電子書 圖書描述

The potential value of artificial neural networks (ANN) as a predictor of malignancy has begun to receive increased recognition. Research and case studies can be found scattered throughout a multitude of journals. "Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management" brings together the work of top researchers - primarily clinicians - who present the results of their state-of-the-art work with ANNs as applied to nearly all major areas of cancer for diagnosis, prognosis, and management of the disease. The book introduces the theory of neural networks and the method of their application in oncology. It is not an exercise in ANN research, but the presentation of a new technique for diagnosing and determining the treatment of cancers.The authors have included almost all cancers for which there exist ANN applications. When the data available is ill-defined and the development of an algorithmic solution difficult, neural networks provide a non-linear approach which helps sift through the maze of information and arrive at a reasonable solution. Highly interdisciplinary in nature, this book provides comprehensive coverage of the most important materials relating to the applications of ANNs in the cancer field. With contributions from prominent research centers worldwide, it serves as an introduction to how neural networks can be used for accurate prediction or diagnosis and shows why neural networks are more accurate. "Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management" gives you an understanding of this new tool, its applications, and when it should be used.

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