Computational Medicine in Data Mining and Modeling

Goran Rakocevic, Tijana Djukic, Nenad Filipovic , Veljko Milutinović

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English

Springer-Verlag New York Inc.
23 August 2016

Biology, life sciences; Data mining; Computer science; Artificial intelligence; Expert & knowledge-based systems

Summary
Details

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.

Edited by: Goran Rakocevic, Tijana Djukic, Nenad Filipovic, Veljko Milutinović
Imprint: Springer-Verlag New York Inc.
Country of Publication: United States
Edition: Softcover reprint of the original 1st ed. 2013
Dimensions: Height: 235mm, Width: 155mm, Spine: 20mm
Weight: 5.854kg
ISBN: 9781493948345
ISBN 10: 1493948342
Pages: 376
Publication Date: 23 August 2016
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active