Advanced Classification Techniques for Healthcare Analysis

Advanced Classification Techniques for Healthcare Analysis PDF Author: Chakraborty, Chinmay
Publisher: IGI Global
ISBN: 1522577971
Category : Medical
Languages : en
Pages : 448

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Book Description
Medical and information communication technology professionals are working to develop robust classification techniques, especially in healthcare data/image analysis, to ensure quick diagnoses and treatments to patients. Without fast and immediate access to healthcare databases and information, medical professionals’ success rates and treatment options become limited and fall to disastrous levels. Advanced Classification Techniques for Healthcare Analysis provides emerging insight into classification techniques in delivering quality, accurate, and affordable healthcare, while also discussing the impact health data has on medical treatments. Featuring coverage on a broad range of topics such as early diagnosis, brain-computer interface, metaheuristic algorithms, clustering techniques, learning schemes, and mobile telemedicine, this book is ideal for medical professionals, healthcare administrators, engineers, researchers, academicians, and technology developers seeking current research on furthering information and communication technology that improves patient care.

Advanced Studies in Classification and Data Science

Advanced Studies in Classification and Data Science PDF Author: Tadashi Imaizumi
Publisher: Springer Nature
ISBN: 9811533113
Category : Mathematics
Languages : en
Pages : 506

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Book Description
This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, data visualization, multivariate statistical methods, and various applications to real data in the social sciences, medical sciences, and other disciplines. In addition to sharing theoretical and methodological findings, the book shows how to apply the proposed methods to a variety of problems — e.g. in consumer behavior, decision-making, marketing data and social network structures. Both methodological aspects and applications to a wide range of areas such as economics, behavioral science, marketing science, management science and the social sciences are covered. The book is chiefly intended for researchers and practitioners who are interested in the latest developments and practical applications in these fields, as well as applied statisticians and data analysts. Its combination of methodological advances with a wide range of real-world applications gathered from several fields makes it of unique value in helping readers solve their research problems.

Classification, Clustering, and Data Analysis

Classification, Clustering, and Data Analysis PDF Author: Krzystof Jajuga
Publisher: Springer Science & Business Media
ISBN: 3642561810
Category : Computers
Languages : en
Pages : 468

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Book Description
The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as for applied statisticians and will support the fast transfer of new methodological advances to a wide range of applications.

Classification, (big) Data Analysis and Statistical Learning

Classification, (big) Data Analysis and Statistical Learning PDF Author: Francesco Mola
Publisher:
ISBN: 9783319557090
Category : Mathematical statistics
Languages : en
Pages : 242

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Book Description
This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field. The peer-reviewed contributions were presented at the 10th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in Santa Margherita di Pula (Cagliari), Italy, October 8-10, 2015.

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis PDF Author: Nilanjan Dey
Publisher: Academic Press
ISBN: 0128180056
Category : Science
Languages : en
Pages : 220

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Book Description
Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images. - Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges - Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications - Introduces several techniques for medical image processing and analysis for CAD systems design

Research Advances in the Fungal World

Research Advances in the Fungal World PDF Author: Pankaj Kumar Chaurasia
Publisher:
ISBN: 9781536171976
Category : Fungi
Languages : en
Pages : 442

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Book Description
Fungi are the renowned eukaryotic organisms. They are heterotrophs like animals, plants and most of the bacteria and studied under the separate branch of science âMycology'. They are abundantly found worldwide as yeasts, moulds, mushrooms etc. Due to the discovery of the different types of fungi, their working styles, habitats, their growing style, culture, sources and optimum locality, fungi have been classified separately from the other eukaryotes like animal and plants. In modern time, there are a number of diseases known which have been caused by fungi but many more significant and useful functions of them are also known and well discovered. Their various positive roles in medicines, remediation, food industries, agriculture, paper and pulp industries, chemical industries, biological researches etc. make them highly significant objectives for researchers and scientists. They also secrete a number of biologically valuable enzymes which further enhance their utility in the field of biotechnology. Their worldwide distributions make them easily available for the research. A number of researches in the field of fungal biotechnology are currently running in order to explore their momentous properties related to their nutraceutical and pharmaceutical values. In this regard, the deep study of their detailed properties, sources, culture, secretion of enzymes, isolation techniques, characterization, kinetics etc. are highly required. Handy nature, very easy language, scientific writing style and advanced research materials of this book make this interesting and highly helpful for the readers and researchers of the field of life sciences, biochemistry and biotechnology to conduct their research. Students of undergraduate and post graduate courses of life sciences/biochemistry/biotechnology will also highly benefit from this book. This book has recent, descriptive as well as up to date information on the recent developments in the world of fungi in the form 17 chapters (divided in two sections: section A and section B) prepared by admirable scientific collaborations. Each chapter has been written by worldwide eminent experts of their scientific research fields. This book covered several valuable and promising topics: (i) Diversity, distribution and classification of fungi. (ii) Isolation, identification and characterization of fungi. (iii) Study of the fungal culture, growth, production, optimization etc. (iv) Rhizospheric fungi, endophytic fungi, lichens, pathogens and secondary metabolites. (v) Fungal properties and applications, biologically potential mushrooms, nutraceutical applications, pharmaceutical applications and bioconversions of wastes materials etc. (vi) Secretion of the different enzymes from fungi (vii) Fungal enzymes, their purification, characterization, kinetics, properties and applications in the field of biotechnology.

Data Classification

Data Classification PDF Author: Charu C. Aggarwal
Publisher: CRC Press
ISBN: 1498760589
Category : Business & Economics
Languages : en
Pages : 710

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Book Description
Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlyi

Advances in Classification Research

Advances in Classification Research PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description


Classification, Data Analysis, and Knowledge Organization

Classification, Data Analysis, and Knowledge Organization PDF Author: Hans-Hermann Bock
Publisher: Springer Science & Business Media
ISBN: 3642763073
Category : Business & Economics
Languages : en
Pages : 404

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Book Description
In science, industry, public administration and documentation centers large amounts of data and information are collected which must be analyzed, ordered, visualized, classified and stored efficiently in order to be useful for practical applications. This volume contains 50 selected theoretical and applied papers presenting a wealth of new and innovative ideas, methods, models and systems which can be used for this purpose. It combines papers and strategies from two main streams of research in an interdisciplinary, dynamic and exciting way: On the one hand, mathematical and statistical methods are described which allow a quantitative analysis of data, provide strategies for classifying objects or making exploratory searches for interesting structures, and give ways to make comprehensive graphical displays of large arrays of data. On the other hand, papers related to information sciences, informatics and data bank systems provide powerful tools for representing, modelling, storing and retrieving facts, data and knowledge characterized by qualitative descriptors, semantic relations, or linguistic concepts. The integration of both fields and a special part on applied problems from biology, medicine, archeology, industry and administration assure that this volume will be informative and useful for theory and practice.

Advances in Biological Science Research

Advances in Biological Science Research PDF Author: Surya Nandan Meena
Publisher: Academic Press
ISBN: 0128174986
Category : Science
Languages : en
Pages : 582

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Book Description
Advances in Biological Science Research: A Practical Approach provides discussions on diverse research topics and methods in the biological sciences in a single platform. This book provides the latest technologies, advanced methods, and untapped research areas involved in diverse fields of biological science research such as bioinformatics, proteomics, microbiology, medicinal chemistry, and marine science. Each chapter is written by renowned researchers in their respective fields of biosciences and includes future advancements in life science research. - Discusses various research topics and methods in the biological sciences in a single platform - Comprises the latest updates in advanced research techniques, protocols, and methods in biological sciences - Incorporates the fundamentals, advanced instruments, and applications of life science experiments - Offers troubleshooting for many common problems faced while performing research experiments