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Computational Medicine in Data Mining and Modeling (Hardcover, 2013 ed.): Goran Rakocevic, Tijana Djukic, Nenad Filipovic,... Computational Medicine in Data Mining and Modeling (Hardcover, 2013 ed.)
Goran Rakocevic, Tijana Djukic, Nenad Filipovic, Veljko Milutinovic
R4,485 R3,551 Discovery Miles 35 510 Save R934 (21%) Ships in 12 - 17 working days

This book presents an overview of a variety of contemporary statistical, mathematical and computer science techniques which are used to further the knowledge in the medical domain. The authors focus on applying data mining to the medical domain, including mining the sets of clinical data typically found in patient's medical records, image mining, medical mining, data mining and machine learning applied to generic genomic data and more. This work also introduces modeling behavior of cancer cells, multi-scale computational models and simulations of blood flow through vessels by using patient-specific models. The authors cover different imaging techniques used to generate patient-specific models. This is used in computational fluid dynamics software to analyze fluid flow. Case studies are provided at the end of each chapter. Professionals and researchers with quantitative backgrounds will find Computational Medicine in Data Mining and Modeling useful as a reference. Advanced-level students studying computer science, mathematics, statistics and biomedicine will also find this book valuable as a reference or secondary text book.

Computational Medicine in Data Mining and Modeling (Paperback, Softcover reprint of the original 1st ed. 2013): Goran... Computational Medicine in Data Mining and Modeling (Paperback, Softcover reprint of the original 1st ed. 2013)
Goran Rakocevic, Tijana Djukic, Nenad Filipovic, Veljko Milutinovic
R4,067 Discovery Miles 40 670 Ships in 10 - 15 working days

This book presents an overview of a variety of contemporary statistical, mathematical and computer science techniques which are used to further the knowledge in the medical domain. The authors focus on applying data mining to the medical domain, including mining the sets of clinical data typically found in patient's medical records, image mining, medical mining, data mining and machine learning applied to generic genomic data and more. This work also introduces modeling behavior of cancer cells, multi-scale computational models and simulations of blood flow through vessels by using patient-specific models. The authors cover different imaging techniques used to generate patient-specific models. This is used in computational fluid dynamics software to analyze fluid flow. Case studies are provided at the end of each chapter. Professionals and researchers with quantitative backgrounds will find Computational Medicine in Data Mining and Modeling useful as a reference. Advanced-level students studying computer science, mathematics, statistics and biomedicine will also find this book valuable as a reference or secondary text book.

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