Deep Learning Techniques for Biomedical and Health Informatics

Written By Sujata Dash
Deep Learning Techniques for Biomedical and Health Informatics
  • Publsiher : Springer
  • Release : 25 November 2019
  • ISBN : 9783030339654
  • Pages : 383 pages
  • Rating : /5 from reviews
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Download or read book entitled Deep Learning Techniques for Biomedical and Health Informatics by author: Sujata Dash which was release on 25 November 2019 and published by Springer with total page 383 pages . This book available in PDF, EPUB and Kindle Format. This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as well as lifestyle problems. In the past, it was common to have a domain expert to develop a model for biomedical or health care applications; however, recent advances in the representation of learning algorithms (deep learning techniques) make it possible to automatically recognize the patterns and represent the given data for the development of such model. This book allows new researchers and practitioners working in the field to quickly understand the best-performing methods. It also enables them to compare different approaches and carry forward their research in an important area that has a direct impact on improving the human life and health. It is intended for researchers, academics, industry professionals, and those at technical institutes and R&D organizations, as well as students working in the fields of machine learning, deep learning, biomedical engineering, health informatics, and related fields.

Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics
  • Author : Sujata Dash,Biswa Ranjan Acharya,Mamta Mittal,Ajith Abraham,Arpad Kelemen
  • Publisher : Springer
  • Release Date : 2019-11-25
  • Total pages : 383
  • ISBN : 9783030339654
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Summary : This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as ...

Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics
  • Author : Dr. Basant Agarwal,Valentina E. Balas,Lakhmi C. Jain,Ramesh Chandra Poonia,Manisha Sharma
  • Publisher : Academic Press
  • Release Date : 2020-01-14
  • Total pages : 367
  • ISBN : 9783030339654
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Summary : Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informatics. The book covers not only the best-performing methods, it also presents implementation methods. The book includes all the prerequisite methodologies in each chapter so that new researchers and ...

Deep Learning in Biomedical and Health Informatics

Deep Learning in Biomedical and Health Informatics
  • Author : Taylor & Francis Group
  • Publisher : CRC Press
  • Release Date : 2021-08-20
  • Total pages : 232
  • ISBN : 9783030339654
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Summary : This book provides a proficient guide on the relationship between AI and healthcare and how AI is changing all aspects of the health care industry. It also covers how deep learning will help in diagnosis and prediction of disease spread. The editors present a comprehensive review of research, applying deep ...

Machine Learning for Health Informatics

Machine Learning for Health Informatics
  • Author : Andreas Holzinger
  • Publisher : Springer
  • Release Date : 2016-12-09
  • Total pages : 481
  • ISBN : 9783030339654
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Summary : Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse ...

Handbook of Deep Learning in Biomedical Engineering and Health Informatics

Handbook of Deep Learning in Biomedical Engineering and Health Informatics
  • Author : Golden Julie,S. M. Jaisakthi,Y. Harold Robinson
  • Publisher : Unknown
  • Release Date : 2021
  • Total pages : 212
  • ISBN : 9783030339654
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Summary : "This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep learning in the biomedical field is an effective method of collecting and analyzing data that can be used for the accurate diagnosis of disease. This volume delves into a ...

Handbook of Deep Learning in Biomedical Engineering and Health Informatics

Handbook of Deep Learning in Biomedical Engineering and Health Informatics
  • Author : E Golden Julie,Y Harold Robinson,S M Jaisakthi
  • Publisher : Apple Academic Press
  • Release Date : 2021-08
  • Total pages : 329
  • ISBN : 9783030339654
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Summary : This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep learning in the biomedical field is an effective method of collecting and analyzing data that can be used for the accurate diagnosis of disease. This volume delves into a ...

Predictive Intelligence in Biomedical and Health Informatics

Predictive Intelligence in Biomedical and Health Informatics
  • Author : Rajshree Srivastava,Nhu Gia Nguyen,Ashish Khanna,Siddhartha Bhattacharyya
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2020-10-12
  • Total pages : 180
  • ISBN : 9783030339654
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Summary : Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data ...

Computational Intelligence for Machine Learning and Healthcare Informatics

Computational Intelligence for Machine Learning and Healthcare Informatics
  • Author : Rajshree Srivastava,Pradeep Kumar Mallick,Siddharth Swarup Rautaray,Manjusha Pandey
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2020-06-22
  • Total pages : 346
  • ISBN : 9783030339654
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Summary : This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary ...

Trends in Deep Learning Methodologies

Trends in Deep Learning Methodologies
  • Author : Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava
  • Publisher : Academic Press
  • Release Date : 2020-12-01
  • Total pages : 306
  • ISBN : 9783030339654
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Summary : Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters elaborate on these models which have shown significant success in ...

Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices

Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices
  • Author : Kang-Ping Lin,Ratko Magjarevic,Paulo de Carvalho
  • Publisher : Springer Nature
  • Release Date : 2019-09-27
  • Total pages : 439
  • ISBN : 9783030339654
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Summary : This book gathers the proceedings of the IV International Conference on Biomedical and Health Informatics (ICBHI 2019), held on 17-20 April, 2019, in Taipei, Taiwan. Contributions span a range of topics, including medical imaging, biosignal processing, biodata management and analytics, public and personalized health systems, mobile health applications and many more. The ...

Smart Computational Intelligence in Biomedical and Health Informatics

Smart Computational Intelligence in Biomedical and Health Informatics
  • Author : Taylor & Francis Group
  • Publisher : CRC Press
  • Release Date : 2021-08-26
  • Total pages : 216
  • ISBN : 9783030339654
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Summary : Smart Computational Intelligence in Biomedical and Health Informatics presents state-of-art innovations, research, design, and implementation of methodological and algorithmic solutions to data processing problems, designing, including analysis of evolving trends in health informatics and computer-aided diagnosis. Further, it describes practical, applications-led research on the use of methods and devices in ...

Handbook of Artificial Intelligence in Biomedical Engineering

Handbook of Artificial Intelligence in Biomedical Engineering
  • Author : Saravanan Krishnan,Ramesh Kesavan,B. Surendiran,G. S. Mahalakshmi
  • Publisher : Apple Academic Press
  • Release Date : 2020-12-15
  • Total pages : 622
  • ISBN : 9783030339654
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Summary : "Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in ...

Signal Processing Techniques for Computational Health Informatics

Signal Processing Techniques for Computational Health Informatics
  • Author : Md Atiqur Rahman Ahad,Mosabber Uddin Ahmed
  • Publisher : Springer
  • Release Date : 2020-12-26
  • Total pages : 334
  • ISBN : 9783030339654
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Summary : This book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care, the book covers a comprehensive and representative range of ...

Machine Learning and Medical Imaging

Machine Learning and Medical Imaging
  • Author : Guorong Wu,Dinggang Shen,Mert Sabuncu
  • Publisher : Academic Press
  • Release Date : 2016-08-11
  • Total pages : 512
  • ISBN : 9783030339654
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Summary : Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the ...

Secondary Analysis of Electronic Health Records

Secondary Analysis of Electronic Health Records
  • Author : MIT Critical Data
  • Publisher : Springer
  • Release Date : 2016-09-09
  • Total pages : 427
  • ISBN : 9783030339654
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Summary : This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both ...