Medical Data Mining And Knowledge Discovery PDF Download
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| Author | : Krzysztof J. Cios |
| Publisher | : Physica |
| Total Pages | : 528 |
| Release | : 2001-01-12 |
| Genre | : Computers |
| ISBN | : |
Download Medical Data Mining and Knowledge Discovery Book in PDF, ePub and Kindle
Modern medicine generates, almost daily, huge amounts of heterogeneous data. For example, medical data may contain SPECT images, signals like ECG, clinical information like temperature, cholesterol levels, etc., as well as the physician's interpretation. Those who deal with such data understand that there is a widening gap between data collection and data comprehension. Computerized techniques are needed to help humans address this problem. This volume is devoted to the relatively young and growing field of medical data mining and knowledge discovery. As more and more medical procedures employ imaging as a preferred diagnostic tool, there is a need to develop methods for efficient mining in databases of images. Other significant features are security and confidentiality concerns. Moreover, the physician's interpretation of images, signals, or other technical data, is written in unstructured English which is very difficult to mine. This book addresses all these specific features.
| Author | : Ashok N. Srivastava |
| Publisher | : CRC Press |
| Total Pages | : 489 |
| Release | : 2016-04-19 |
| Genre | : Computers |
| ISBN | : 1439841799 |
Download Machine Learning and Knowledge Discovery for Engineering Systems Health Management Book in PDF, ePub and Kindle
This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. It emphasizes the importance of these techniques in managing the intricate interactions within and between engineering systems to maintain a high degree of reliability. Reflecting the interdisciplinary nature of the field, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address systems health management in application areas such as data centers, aircraft, and software systems.
| Author | : Berka, Petr |
| Publisher | : IGI Global |
| Total Pages | : 464 |
| Release | : 2009-02-28 |
| Genre | : Computers |
| ISBN | : 1605662194 |
Download Data Mining and Medical Knowledge Management: Cases and Applications Book in PDF, ePub and Kindle
The healthcare industry produces a constant flow of data, creating a need for deep analysis of databases through data mining tools and techniques resulting in expanded medical research, diagnosis, and treatment. Data Mining and Medical Knowledge Management: Cases and Applications presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of data, information, knowledge, and ontologies.
| Author | : Andreas Holzinger |
| Publisher | : Springer |
| Total Pages | : 357 |
| Release | : 2014-06-17 |
| Genre | : Computers |
| ISBN | : 3662439689 |
Download Interactive Knowledge Discovery and Data Mining in Biomedical Informatics Book in PDF, ePub and Kindle
One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This “big data” challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an explosion in the amount of generated biomedical data sets. Despite the fact that human experts are very good at pattern recognition in dimensions of = 3; most of the data is high-dimensional, which makes manual analysis often impossible and neither the medical doctor nor the biomedical researcher can memorize all these facts. A synergistic combination of methodologies and approaches of two fields offer ideal conditions towards unraveling these problems: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human capabilities with machine learning./ppThis state-of-the-art survey is an output of the HCI-KDD expert network and features 19 carefully selected and reviewed papers related to seven hot and promising research areas: Area 1: Data Integration, Data Pre-processing and Data Mapping; Area 2: Data Mining Algorithms; Area 3: Graph-based Data Mining; Area 4: Entropy-Based Data Mining; Area 5: Topological Data Mining; Area 6 Data Visualization and Area 7: Privacy, Data Protection, Safety and Security.
| Author | : Chandan K. Reddy |
| Publisher | : CRC Press |
| Total Pages | : 756 |
| Release | : 2015-06-23 |
| Genre | : Business & Economics |
| ISBN | : 148223212X |
Download Healthcare Data Analytics Book in PDF, ePub and Kindle
At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available
| Author | : Hsinchun Chen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 656 |
| Release | : 2006-07-19 |
| Genre | : Medical |
| ISBN | : 038725739X |
Download Medical Informatics Book in PDF, ePub and Kindle
Comprehensively presents the foundations and leading application research in medical informatics/biomedicine. The concepts and techniques are illustrated with detailed case studies. Authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health & Science University. Related Springer title, Shortliffe: Medical Informatics, has sold over 8000 copies The title will be positioned at the upper division and graduate level Medical Informatics course and a reference work for practitioners in the field.
| Author | : Vagelis Hristidis |
| Publisher | : CRC Press |
| Total Pages | : 334 |
| Release | : 2009-12-10 |
| Genre | : Business & Economics |
| ISBN | : 1420090410 |
Download Information Discovery on Electronic Health Records Book in PDF, ePub and Kindle
Exploiting the rich information found in electronic health records (EHRs) can facilitate better medical research and improve the quality of medical practice. Until now, a trivial amount of research has been published on the challenges of leveraging this information. Addressing these challenges, Information Discovery on Electronic Health Records exp
| Author | : A. H. Eschenfelder |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 328 |
| Release | : 2012-12-06 |
| Genre | : Technology & Engineering |
| ISBN | : 3642965490 |
Download Magnetic Bubble Technology Book in PDF, ePub and Kindle
Magnetic bubbles are of interest to engineers because their properties can be used for important practical electronic devices and they are of interest to physicists because their properties are manifestations of intriguing physical principles. At the same time, the fabrication of useful configurations challenges the materials scientists and engineers. A technology of magnetic bubbles has developed to the point where commercial products are being marketed. In addition, new discovery and development are driving this technology toward substantially lower costs and presumably broader application. For all of these reasons there is a need to educate newcomers to this field in universities and in industry. The purpose of this book is to provide a text for a one-semester course that can be taught under headings of Solid State Physics, Materials Science, Computer Technology or Integrated Electronics. It is expected that the student of anyone of these disciplines will be interested in each of the chapters of this book to some degree, but may concentrate on some more than others, depending on the discipline. At the end of each chapter there is a brief summary which will serve as a reminder of the contents of the chapter but can also be read ahead of time to determine the depth of your interest in the chapter.
| Author | : Usama M. Fayyad |
| Publisher | : |
| Total Pages | : 638 |
| Release | : 1996 |
| Genre | : Computers |
| ISBN | : |
Download Advances in Knowledge Discovery and Data Mining Book in PDF, ePub and Kindle
Eight sections of this book span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation, integrated discovery systems, augumented database systems and application case studies. The appendices provide a list of terms used in the literature of the field of data mining and knowledge discovery in databases, and a list of online resources for the KDD researcher.
| Author | : Arvind Kumar Bansal |
| Publisher | : CRC Press |
| Total Pages | : 664 |
| Release | : 2020-01-08 |
| Genre | : Medical |
| ISBN | : 1000761592 |
Download Introduction to Computational Health Informatics Book in PDF, ePub and Kindle
This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer science and clinical perspectives. This book prepares computer science students for careers in computational health informatics and medical data analysis. Features Integrates computer science and clinical perspectives Describes various statistical and artificial intelligence techniques, including machine learning techniques such as clustering of temporal data, regression analysis, neural networks, HMM, decision trees, SVM, and data mining, all of which are techniques used widely used in health-data analysis Describes computational techniques such as multidimensional and multimedia data representation and retrieval, ontology, patient-data deidentification, temporal data analysis, heterogeneous databases, medical image analysis and transmission, biosignal analysis, pervasive healthcare, automated text-analysis, health-vocabulary knowledgebases and medical information-exchange Includes bioinformatics and pharmacokinetics techniques and their applications to vaccine and drug development
