One major challenge facing modern medicine is to fulfill the promise and potential of the enormous increase in medical data sets of all kinds. Medical Applications of Intelligent Data Analysis: Research Advancements explores the potential of utilizing this medical data through the implementation of developed models in practical applications. This premier reference source features chapters contributed by specialists in a variety of intelligent data analysis (IDA) fields related to medicine, health, and bioinformatics. All of these contributions are devoted to describing the practical medical applications of IDA and how the theory described in many other books can be implemented to improve medical care.
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The authors of the different chapters in this handbook show the applications of those techniques [soft computing, data mining, machine learning, intelligent data analysis, extracting knowledge of massive data sets] to different clinical problems. Summarizing, the reader hold between his/her hands a complete exposition of the state of the art of the applications of those techniques in clinical practice. --Josep Redón I Mas, European Society of Hypertension, & University of Valencia, Spain
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