Computational Medicine In Data Mining And Modeling

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Computational Medicine in Data Mining and Modeling

Goran Rakocevic,Tijana Djukic,Nenad Filipovic,Veljko Milutinović

Author : Goran Rakocevic,Tijana Djukic,Nenad Filipovic,Veljko Milutinović
Publisher : Springer Science & Business Media
Page : 383 pages
File Size : 49,6 Mb
Release : 2013-10-17
Category : Computers
ISBN : 9781461487852

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Computational Medicine in Data Mining and Modeling by Goran Rakocevic,Tijana Djukic,Nenad Filipovic,Veljko Milutinović Pdf

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.

Predictive Modeling in Biomedical Data Mining and Analysis

Sudipta Roy,Lalit Mohan Goyal,Valentina Emilia Balas,Basant Agarwal,Mamta Mittal

Author : Sudipta Roy,Lalit Mohan Goyal,Valentina Emilia Balas,Basant Agarwal,Mamta Mittal
Publisher : Academic Press
Page : 346 pages
File Size : 48,9 Mb
Release : 2022-08-28
Category : Science
ISBN : 9780323914451

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Predictive Modeling in Biomedical Data Mining and Analysis by Sudipta Roy,Lalit Mohan Goyal,Valentina Emilia Balas,Basant Agarwal,Mamta Mittal Pdf

Predictive Modeling in Biomedical Data Mining and Analysis presents major technical advancements and research findings in the field of machine learning in biomedical image and data analysis. The book examines recent technologies and studies in preclinical and clinical practice in computational intelligence. The authors present leading-edge research in the science of processing, analyzing and utilizing all aspects of advanced computational machine learning in biomedical image and data analysis. As the application of machine learning is spreading to a variety of biomedical problems, including automatic image segmentation, image classification, disease classification, fundamental biological processes, and treatments, this is an ideal reference. Machine Learning techniques are used as predictive models for many types of applications, including biomedical applications. These techniques have shown impressive results across a variety of domains in biomedical engineering research. Biology and medicine are data-rich disciplines, but the data are complex and often ill-understood, hence the need for new resources and information. Includes predictive modeling algorithms for both Supervised Learning and Unsupervised Learning for medical diagnosis, data summarization and pattern identification Offers complete coverage of predictive modeling in biomedical applications, including data visualization, information retrieval, data mining, image pre-processing and segmentation, mathematical models and deep neural networks Provides readers with leading-edge coverage of biomedical data processing, including high dimension data, data reduction, clinical decision-making, deep machine learning in large data sets, multimodal, multi-task, and transfer learning, as well as machine learning with Internet of Biomedical Things applications

Biomedical Data Mining for Information Retrieval

Sujata Dash,Subhendu Kumar Pani,S. Balamurugan,Ajith Abraham

Author : Sujata Dash,Subhendu Kumar Pani,S. Balamurugan,Ajith Abraham
Publisher : John Wiley & Sons
Page : 450 pages
File Size : 51,7 Mb
Release : 2021-08-06
Category : Computers
ISBN : 9781119711261

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Biomedical Data Mining for Information Retrieval by Sujata Dash,Subhendu Kumar Pani,S. Balamurugan,Ajith Abraham Pdf

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.

Advanced Prognostic Predictive Modelling in Healthcare Data Analytics

Sudipta Roy,Lalit Mohan Goyal,Mamta Mittal

Author : Sudipta Roy,Lalit Mohan Goyal,Mamta Mittal
Publisher : Springer Nature
Page : 317 pages
File Size : 40,9 Mb
Release : 2021-04-22
Category : Technology & Engineering
ISBN : 9789811605383

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Advanced Prognostic Predictive Modelling in Healthcare Data Analytics by Sudipta Roy,Lalit Mohan Goyal,Mamta Mittal Pdf

This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis. The use of prognostic modelling as predictive models to solve complex problems of data mining and analysis in health care is the feature of this book. The book examines the recent technologies and studies that reached the practical level and becoming available in preclinical and clinical practices in computational intelligence. The main areas of interest covered in this book are highest quality, original work that contributes to the basic science of processing, analysing and utilizing all aspects of advanced computational prognostic modelling in healthcare image and data analysis.

Introduction to Computational Health Informatics

Arvind Kumar Bansal,Javed Iqbal Khan,S. Kaisar Alam

Author : Arvind Kumar Bansal,Javed Iqbal Khan,S. Kaisar Alam
Publisher : CRC Press
Page : 664 pages
File Size : 53,6 Mb
Release : 2020-01-08
Category : Medical
ISBN : 9781000761597

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Introduction to Computational Health Informatics by Arvind Kumar Bansal,Javed Iqbal Khan,S. Kaisar Alam Pdf

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

Methods, Models, and Computation for Medical Informatics

Gangopadhyay, Aryya

Author : Gangopadhyay, Aryya
Publisher : IGI Global
Page : 345 pages
File Size : 41,5 Mb
Release : 2012-12-31
Category : Medical
ISBN : 9781466626843

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Methods, Models, and Computation for Medical Informatics by Gangopadhyay, Aryya Pdf

Regular developments in technology continue to influence the medical and healthcare fields as they interact with information and computer sciences by methods of acquisition and the storage and retrieval of information. Methods, Models, and Computation for Medical Informatics is a comprehensive collection of research on computational capabilities, prototypes, and algorithms, as well as application in the areas of nursing, clinical care, public health, biomedical research, and much more. This book provides a better understanding of the models and methods used in the field of medicine for researchers, practitioners, and medical professionals alike.

Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis

Subhendu Kumar Pani,Sujata Dash,Wellington P. dos Santos,Syed Ahmad Chan Bukhari,Francesco Flammini

Author : Subhendu Kumar Pani,Sujata Dash,Wellington P. dos Santos,Syed Ahmad Chan Bukhari,Francesco Flammini
Publisher : Springer Nature
Page : 416 pages
File Size : 52,5 Mb
Release : 2021-12-13
Category : Computers
ISBN : 9783030797539

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Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis by Subhendu Kumar Pani,Sujata Dash,Wellington P. dos Santos,Syed Ahmad Chan Bukhari,Francesco Flammini Pdf

This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The new era of pandemics and epidemics bring tremendous opportunities and challenges due to the plentiful and easily available medical data allowing for further analysis. The aim of pandemics and epidemics research is to ensure high-quality, efficient healthcare, better treatment and quality of life by efficiently analyzing the abundant medical, and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. In the past, it was a common requirement to have domain experts for developing models for biomedical or healthcare. However, recent advances in representation learning algorithms allow us to automatically learn the pattern and representation of the given data for the development of such models. Medical Image Mining, a novel research area (due to its large amount of medical images) are increasingly generated and stored 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 related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new and useful information that can be helpful for scientists and biomedical practitioners. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis will play a vital role in improving human life in response to pandemics and epidemics. The state-of-the-art approaches for data mining-based medical and health related applications will be of great value to researchers and practitioners working in biomedical, health informatics, and artificial intelligence..

Computational Biomechanics for Medicine

Poul M.F. Nielsen,Martyn P. Nash,Xinshan Li,Karol Miller,Adam Wittek

Author : Poul M.F. Nielsen,Martyn P. Nash,Xinshan Li,Karol Miller,Adam Wittek
Publisher : Springer Nature
Page : 195 pages
File Size : 53,7 Mb
Release : 2022-10-31
Category : Technology & Engineering
ISBN : 9783031093272

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Computational Biomechanics for Medicine by Poul M.F. Nielsen,Martyn P. Nash,Xinshan Li,Karol Miller,Adam Wittek Pdf

This book presents contributions from the MICCAI 2021 Computational Biomechanics for Medicine Workshop. "Computational Biomechanics for Medicine - towards translation and better patient outcomes” comprises papers accepted for the MICCAI Computational Biomechanics for Medicine Workshop held virtually in conjunction with Medical Image Computing and Computer Assisted Intervention conference 2021, based in Strasbourg. The content focuses on methods and applications of computational biomechanics to medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, analysis of injury mechanisms, implant and prostheses design, as well as artificial organ design and medical robotics. This book details state-of-the-art progress in the above fields to researchers, students, and professionals.

Computational Science – ICCS 2018

Yong Shi,Haohuan Fu,Yingjie Tian,Valeria V. Krzhizhanovskaya,Michael Harold Lees,Jack Dongarra,Peter M. A. Sloot

Author : Yong Shi,Haohuan Fu,Yingjie Tian,Valeria V. Krzhizhanovskaya,Michael Harold Lees,Jack Dongarra,Peter M. A. Sloot
Publisher : Springer
Page : 866 pages
File Size : 40,5 Mb
Release : 2018-06-12
Category : Computers
ISBN : 9783319937137

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Computational Science – ICCS 2018 by Yong Shi,Haohuan Fu,Yingjie Tian,Valeria V. Krzhizhanovskaya,Michael Harold Lees,Jack Dongarra,Peter M. A. Sloot Pdf

The three-volume set LNCS 10860, 10861 and 10862 constitutes the proceedings of the 18th International Conference on Computational Science, ICCS 2018, held in Wuxi, China, in June 2018. The total of 155 full and 66 short papers presented in this book set was carefully reviewed and selected from 404 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging ManYcore Systems; Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Data, Modeling, and Computation in IoT and Smart Systems; Track of Data-Driven Computational Sciences; Track of Mathematical-Methods-and-Algorithms for Extreme Scale; Track of Multiscale Modelling and Simulation Part III: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Papers

Computational Bioengineering and Bioinformatics

Nenad Filipovic

Author : Nenad Filipovic
Publisher : Springer Nature
Page : 175 pages
File Size : 54,9 Mb
Release : 2020-03-11
Category : Technology & Engineering
ISBN : 9783030436582

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Computational Bioengineering and Bioinformatics by Nenad Filipovic Pdf

This book explores the latest and most relevant topics in the field of computational bioengineering and bioinformatics, with a particular focus on patient-specific, disease-progression modeling. It covers computational methods for cardiovascular disease prediction, with an emphasis on biomechanics, biomedical decision support systems, data mining, personalized diagnostics, bio-signal processing, protein structure prediction, biomedical image processing, analysis and visualization, and high-performance computing. It also discusses state-of-the-art tools for disease characterization, and recent advances in areas such as biomechanics, cardiovascular engineering, patient-specific modeling, population-based modeling, multiscale modeling, image processing, data mining, biomedical decision-support systems, signal processing, biomaterials and dental biomechanics, tissue and cell engineering, computational chemistry and high-performance computing. As such, it is a valuable resource for researchers, medical and bioengineering students, and medical device and software experts

Innovations in Data Methodologies and Computational Algorithms for Medical Applications

Gangopadhyay, Aryya

Author : Gangopadhyay, Aryya
Publisher : IGI Global
Page : 354 pages
File Size : 47,8 Mb
Release : 2012-03-31
Category : Medical
ISBN : 9781466602830

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Innovations in Data Methodologies and Computational Algorithms for Medical Applications by Gangopadhyay, Aryya Pdf

Medicine has, until recently, been slow to adapt to information technologies and systems for many reasons, but the future lies therein.Innovations in Data Methodologies and Computational Algorithms for Medical Applications offers the most cutting-edge research in the field, offering insights into case studies and methodologies from around the world. The text details the latest developments and will serve as a vital resource to practitioners and academics alike in the burgeoning field of medical applications of technologies. As security and privacy improve, Electronic Health Records and informatics in the medical field are becoming ubiquitous, and staying abreast of the latest information can be difficult. This volume serves as a reference handbook and theoretical framework for the future of the field.

Data Mining for Bioinformatics Applications

He Zengyou

Author : He Zengyou
Publisher : Woodhead Publishing
Page : 100 pages
File Size : 52,6 Mb
Release : 2015-06-09
Category : Computers
ISBN : 9780081001073

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Data Mining for Bioinformatics Applications by He Zengyou Pdf

Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation. Provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems Uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems Contains 45 bioinformatics problems that have been investigated in recent research

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Andreas Holzinger,Igor Jurisica

Author : Andreas Holzinger,Igor Jurisica
Publisher : Springer
Page : 357 pages
File Size : 40,6 Mb
Release : 2014-06-17
Category : Computers
ISBN : 9783662439685

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Interactive Knowledge Discovery and Data Mining in Biomedical Informatics by Andreas Holzinger,Igor Jurisica Pdf

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.

Computational Modeling in Bioengineering and Bioinformatics

Nenad Filipovic

Author : Nenad Filipovic
Publisher : Academic Press
Page : 448 pages
File Size : 51,5 Mb
Release : 2019-10-09
Category : Science
ISBN : 9780128195840

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Computational Modeling in Bioengineering and Bioinformatics by Nenad Filipovic Pdf

Computational Modeling in Bioengineering and Bioinformatics promotes complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, and in the environment, public health, drug design, and so on. It provides a common platform by bridging these two very important and complementary disciplines into an interactive and attractive forum. Chapters cover biomechanics and bioimaging, biomedical decision support system, data mining, personalized diagnoses, bio-signal processing, protein structure prediction, tissue and cell engineering, biomedical image processing, analysis and visualization, high performance computing and sports bioengineering. The book's chapters are the result of many international projects in the area of bioengineering and bioinformatics done at the Research and Development Center for Bioengineering BioIRC and by the Faculty of Engineering at the University of Kragujevac, Serbia. Presents recent advances at the crossroads of biomedical engineering and bioinformatics, one of the hottest areas in biomedical and clinical research Discusses a wide range of leading-edge research topics, including biomechanics and bioimaging, biomedical decision support systems, data mining, personalized diagnoses, bio-signal processing, protein structure prediction, tissue and cell engineering, amongst others Includes coverage of biomechanical, bioengineering and computational methods of treatment and diagnosis

Healthcare Data Analytics

Chandan K. Reddy,Charu C. Aggarwal

Author : Chandan K. Reddy,Charu C. Aggarwal
Publisher : CRC Press
Page : 756 pages
File Size : 50,9 Mb
Release : 2015-06-23
Category : Business & Economics
ISBN : 9781482232127

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Healthcare Data Analytics by Chandan K. Reddy,Charu C. Aggarwal Pdf

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

Computational Medicine In Data Mining And Modeling

Computational Medicine in Data Mining and Modeling by Goran Rakocevic,Tijana Djukic,Nenad Filipovic,Veljko Milutinović Pdf

Predictive Modeling in Biomedical Data Mining and Analysis by Sudipta Roy,Lalit Mohan Goyal,Valentina Emilia Balas,Basant Agarwal,Mamta Mittal Pdf

Biomedical Data Mining for Information Retrieval by Sujata Dash,Subhendu Kumar Pani,S. Balamurugan,Ajith Abraham Pdf

Advanced Prognostic Predictive Modelling in Healthcare Data Analytics by Sudipta Roy,Lalit Mohan Goyal,Mamta Mittal Pdf

Introduction to Computational Health Informatics by Arvind Kumar Bansal,Javed Iqbal Khan,S. Kaisar Alam Pdf

Methods, Models, and Computation for Medical Informatics by Gangopadhyay, Aryya Pdf

Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis by Subhendu Kumar Pani,Sujata Dash,Wellington P. dos Santos,Syed Ahmad Chan Bukhari,Francesco Flammini Pdf

Computational Biomechanics for Medicine by Poul M.F. Nielsen,Martyn P. Nash,Xinshan Li,Karol Miller,Adam Wittek Pdf

Computational Science – ICCS 2018 by Yong Shi,Haohuan Fu,Yingjie Tian,Valeria V. Krzhizhanovskaya,Michael Harold Lees,Jack Dongarra,Peter M. A. Sloot Pdf

Computational Bioengineering and Bioinformatics by Nenad Filipovic Pdf

Innovations in Data Methodologies and Computational Algorithms for Medical Applications by Gangopadhyay, Aryya Pdf

Data Mining for Bioinformatics Applications by He Zengyou Pdf

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics by Andreas Holzinger,Igor Jurisica Pdf

Computational Modeling in Bioengineering and Bioinformatics by Nenad Filipovic Pdf

Healthcare Data Analytics by Chandan K. Reddy,Charu C. Aggarwal Pdf

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