Data Mining In Medical And Biological Research PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Data Mining In Medical And Biological Research PDF full book. Access full book title Data Mining In Medical And Biological Research.

Data Mining in Medical and Biological Research

Data Mining in Medical and Biological Research
Author: Eugenia Giannopoulou
Publisher: BoD – Books on Demand
Total Pages: 334
Release: 2008-11-01
Genre: Medical
ISBN: 9537619303
GET BOOK

Download Data Mining in Medical and Biological Research Book in PDF, ePub and Kindle

This book intends to bring together the most recent advances and applications of data mining research in the promising areas of medicine and biology from around the world. It consists of seventeen chapters, twelve related to medical research and five focused on the biological domain, which describe interesting applications, motivating progress and worthwhile results. We hope that the readers will benefit from this book and consider it as an excellent way to keep pace with the vast and diverse advances of new research efforts.

Biological Data Mining And Its Applications In Healthcare

Biological Data Mining And Its Applications In Healthcare
Author: Xiaoli Li
Publisher: World Scientific
Total Pages: 437
Release: 2013-11-28
Genre: Science
ISBN: 9814551023
GET BOOK

Download Biological Data Mining And Its Applications In Healthcare Book in PDF, ePub and Kindle

Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data from genomic and protein sequences, DNA microarrays, protein interactions, biomedical images, to disease pathways and electronic health records. To exploit these data for discovering new knowledge that can be translated into clinical applications, there are fundamental data analysis difficulties that have to be overcome. Practical issues such as handling noisy and incomplete data, processing compute-intensive tasks, and integrating various data sources, are new challenges faced by biologists in the post-genome era. This book will cover the fundamentals of state-of-the-art data mining techniques which have been designed to handle such challenging data analysis problems, and demonstrate with real applications how biologists and clinical scientists can employ data mining to enable them to make meaningful observations and discoveries from a wide array of heterogeneous data from molecular biology to pharmaceutical and clinical domains.

Biological Data Mining

Biological Data Mining
Author: Jake Y. Chen
Publisher: CRC Press
Total Pages: 736
Release: 2009-09-01
Genre: Computers
ISBN: 1420086855
GET BOOK

Download Biological Data Mining Book in PDF, ePub and Kindle

Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplin

Life Science Data Mining

Life Science Data Mining
Author: Stephen T. C. Wong
Publisher: World Scientific Publishing Company
Total Pages: 392
Release: 2006
Genre: Computers
ISBN:
GET BOOK

Download Life Science Data Mining Book in PDF, ePub and Kindle

This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts of heterogeneous multi-modal, multi-scale data for emerging real-world applications in life science.The cutting-edge topics presented include bio-surveillance, disease outbreak detection, high throughput bioimaging, drug screening, predictive toxicology, biosensors, and the integration of macro-scale bio-surveillance and environmental data with micro-scale biological data for personalized medicine. This collection of works from leading researchers in the field offers readers an exceptional start in these areas.

Biomedical Data Mining for Information Retrieval

Biomedical Data Mining for Information Retrieval
Author: Sujata Dash
Publisher: John Wiley & Sons
Total Pages: 450
Release: 2021-08-06
Genre: Computers
ISBN: 1119711266
GET BOOK

Download Biomedical Data Mining for Information Retrieval Book in PDF, ePub and Kindle

BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. Biomedical Data Mining for Information Retrieval comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions relating to healthcare. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients. Audience Researchers in various fields including computer science, medical informatics, healthcare IOT, artificial intelligence, machine learning, image processing, clinical big data analytics.

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
Author: Andreas Holzinger
Publisher: Springer
Total Pages: 373
Release: 2014-06-17
Genre: Computers
ISBN: 3662439689
GET BOOK

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.

Data Mining in Biomedical Imaging, Signaling, and Systems

Data Mining in Biomedical Imaging, Signaling, and Systems
Author: Sumeet Dua
Publisher: CRC Press
Total Pages: 434
Release: 2016-04-19
Genre: Computers
ISBN: 1439839395
GET BOOK

Download Data Mining in Biomedical Imaging, Signaling, and Systems Book in PDF, ePub and Kindle

This comprehensive volume demonstrates the broad scope of uses for data mining and includes detailed strategies and methodologies for analyzing data from biomedical images, signals, and systems. Written by experts in the field, it presents data mining techniques in the context of various important clinical issues, including diagnosis and grading of depression, identification and classification of arrhythmia and ischemia, and description of classification paradigms for mammograms. The book provides ample information and techniques to benefit researchers, practitioners, and educators of biomedical science and engineering.

Data Mining in Biomedicine

Data Mining in Biomedicine
Author: Panos M. Pardalos
Publisher: Springer Science & Business Media
Total Pages: 577
Release: 2008-12-10
Genre: Medical
ISBN: 038769319X
GET BOOK

Download Data Mining in Biomedicine Book in PDF, ePub and Kindle

This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. Coverage includes new approaches for the analysis of biomedical data; applications of data mining techniques to real-life problems in medical practice; comprehensive reviews of recent trends in the field. The book addresses incorporation of data mining in fundamental areas of biomedical research: genomics, proteomics, protein characterization, and neuroscience.

Data Mining and Medical Knowledge Management: Cases and Applications

Data Mining and Medical Knowledge Management: Cases and Applications
Author: Berka, Petr
Publisher: IGI Global
Total Pages: 464
Release: 2009-02-28
Genre: Computers
ISBN: 1605662194
GET BOOK

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.

Medical Informatics

Medical Informatics
Author: Hsinchun Chen
Publisher: Springer Science & Business Media
Total Pages: 656
Release: 2006-07-19
Genre: Medical
ISBN: 038725739X
GET BOOK

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.