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Computational Intelligence for Oncology and Neurological Disorders : Current Practices and Future Directions (Chapman & Hall/CRC Computational Biology Series)

By: Ajith Abraham (Edited by) , Biju Gopi (Edited by) , Reuel Ajith (Edited by) , utyunjaya Panda (Edited by)

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Ksh 27,850.00

Format: Hardback or Cased Book

ISBN-10: 1032584572

ISBN-13: 9781032584577

Collection / Series: Chapman & Hall/CRC Computational Biology Series

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jul 15th, 2024

Publication Status: Active

Product extent: 272 Pages

Weight: 453.00 grams

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The book collects high-quality original contributions, containing the latest developments or applications of practical use and value, presenting interdisciplinary research and review articles in the field of intelligent systems for computational oncology and neurological disorders

With the advent of computational intelligence-based approaches, such as bio-inspired techniques, and the availability of clinical data from various complex experiments, medical consultants, researchers, neurologists, and oncologists, there is huge scope for CI-based applications in medical oncology and neurological disorders. This book focuses on interdisciplinary research in this field, bringing together medical practitioners dealing with neurological disorders and medical oncology along with CI investigators.

The book collects high-quality original contributions, containing the latest developments or applications of practical use and value, presenting interdisciplinary research and review articles in the field of intelligent systems for computational oncology and neurological disorders. Drawing from work across computer science, physics, mathematics, medical science, psychology, cognitive science, oncology, and neurobiology among others, it combines theoretical, applied, computational, experimental, and clinical research. It will be of great interest to any neurology or oncology researchers focused on computational approaches.

 


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