Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management (Biomedical Engineering)

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9780849396922: Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management (Biomedical Engineering)

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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"This book concentrates on the application of ANNs in human cancer research including feature extraction, prognostic studies, survival analyses, and outcome prediction. . . This book presents an exciting alternative to traditional statistical techniques for use in outcome prediction and disease management for cancer patients. . . most readers will be able to use the book immediately." -Kemi Ladeji-Osias, Morgan State University

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Book Description Taylor Francis Inc, United States, 2001. Hardback. Book Condition: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Bookseller Inventory # BTE9780849396922

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Published by CRC Press (2001)
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Book Description 2001. Hardcover. Book Condition: New. 1st. Hardcover. 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 scatte.Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. 216 pages. 0.603. Bookseller Inventory # 9780849396922

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Neuman, Michael R. (Series edited by)/ Naguib, R. N. G. (Edited by)/ Sherbet, G. V. (Edited by)
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Book Description CRC Pr I Llc, 2001. Hardcover. Book Condition: Brand New. 1st edition. 216 pages. 10.00x7.25x0.75 inches. In Stock. Bookseller Inventory # 0849396921

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