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Medical Content-Based Retrieval for Clinical Decision Support

Medical Content-Based Retrieval for Clinical Decision Support
  • Author : Henning Mueller,Hayit Greenspan,Tanveer Syeda-Mahmood
  • Publisher :Unknown
  • Release Date :2012-02-21
  • Total pages :153
  • ISBN : 9783642284601
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Summary : This book constitutes the refereed proceedings of the Second MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2011, held in Toronto, Canada, in September 2011. The 11 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 17 submissions. The papers are divided on several topics on medical image retrieval with textual approaches, visual word based approaches, applications and multidimensional retrieval.

Medical Content-Based Retrieval for Clinical Decision Support

Medical Content-Based Retrieval for Clinical Decision Support
  • Author : Henning Müller,Tanveer Syeda-Mahmood,James Duncan,Fei Wang,Jayashree Kalpathy-Cramer
  • Publisher :Unknown
  • Release Date :2010-02-04
  • Total pages :121
  • ISBN : 9783642117695
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Summary : This book constitutes the refereed proceedings of the first MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR_CBS 2009, held in London, UK, in September 2009. The 10 revised full papers were carefully reviewed and selected from numerous submissions. The papers are divide on several topics on medical image retrieval, clinical decision making and multimodal fusion.

Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications

Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications
  • Author : Zha, Xuan
  • Publisher :Unknown
  • Release Date :2006-10-31
  • Total pages :478
  • ISBN : 9781599042510
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Summary : Researchers in the evolving fields of artificial intelligence and information systems are constantly presented with new challenges. Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications provides both researchers and professionals with the latest knowledge applied to customized logic systems, agent-based approaches to modeling, and human-based models. Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications presents the recent advances in multi-mobile agent systems, the product development process, fuzzy logic systems, neural networks, and ambient intelligent environments among many other innovations in this exciting field.

Medical Content-Based Retrieval for Clinical Decision Support

Medical Content-Based Retrieval for Clinical Decision Support
  • Author : Hayit Greenspan,Henning Müller,Tanveer Syeda-Mahmood
  • Publisher :Unknown
  • Release Date :2013-02-20
  • Total pages :145
  • ISBN : 9783642366789
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Summary : This book constitutes the refereed proceedings of the Third MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2012, held in Nice, France, in October 2012. The 10 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 15 submissions. The papers are divided on several topics on image analysis of visual or multimodal medical data (X-ray, MRI, CT, echo videos, time series data), machine learning of disease correlations in visual or multimodal data, algorithms for indexing and retrieval of data from visual or multimodal medical databases, disease model-building and clinical decision support systems based on visual or multimodal analysis, algorithms for medical image retrieval or classification, systems of retrieval or classification using the ImageCLEF collection.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
  • Author : Werner Horn,Yuval Shahar,Greger Lindberg,Steen Andreassen,Jeremy Wyatt
  • Publisher :Unknown
  • Release Date :2003-05-21
  • Total pages :462
  • ISBN : 9783540487203
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Summary : This book constitutes the refereed proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99, held in Aalborg, Denmark, in June 1999. The 27 full papers and 19 short papers presented in the book together with four invited papers were selected from 90 submissions. The papers are organized in topical sections on guidelines and protocols; decision support systems, knowledge-based systems, and cooperative systems; model-based systems; neural nets and causal probabilistic networks; knowledge representation; temporal reasoning; machine learning; natural language processing; and image processing and computer aided design.

Smart Healthcare

Smart Healthcare
  • Author : Hongxu Yin,Ayten Ozge Akmandor,Arsalan Mosenia,Niraj K. Jha
  • Publisher :Unknown
  • Release Date :2018-05-30
  • Total pages :80
  • ISBN : 1680834401
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Summary : Defines a standard framework for smart healthcare aimed at both daily and clinical settings. Discusses various considerations and challenges that should be taken into account while designing smart healthcare systems.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
  • Author : M. Jorge Cardoso,Tal Arbel,Gustavo Carneiro,Tanveer Syeda-Mahmood,João Manuel R.S. Tavares,Mehdi Moradi,Andrew Bradley,Hayit Greenspan,João Paulo Papa,Anant Madabhushi,Jacinto C. Nascimento,Jaime S. Cardoso,Vasileios Belagiannis,Zhi Lu
  • Publisher :Unknown
  • Release Date :2017-09-07
  • Total pages :385
  • ISBN : 9783319675589
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Summary : This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

Secondary Analysis of Electronic Health Records

Secondary Analysis of Electronic Health Records
  • Author : MIT Critical Data
  • Publisher :Unknown
  • Release Date :2016-09-09
  • Total pages :427
  • ISBN : 9783319437422
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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 individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.

Bioelectronic Medicine

Bioelectronic Medicine
  • Author : Valentin A. Pavlov
  • Publisher :Unknown
  • Release Date :2019
  • Total pages :350
  • ISBN : 1621823024
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Summary : "Cold Spring Harbor perspectives in medicine."

Biometric and Intelligent Decision Making Support

Biometric and Intelligent Decision Making Support
  • Author : Arturas Kaklauskas
  • Publisher :Unknown
  • Release Date :2014-12-26
  • Total pages :220
  • ISBN : 9783319136592
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Summary : This book presents different methods for analyzing the body language (movement, position, use of personal space, silences, pauses and tone, the eyes, pupil dilation or constriction, smiles, body temperature and the like) for better understanding people’s needs and actions, including biometric data gathering and reading. Different studies described in this book indicate that sufficiently much data, information and knowledge can be gained by utilizing biometric technologies. This is the first, wide-ranging book that is devoted completely to the area of intelligent decision support systems, biometrics technologies and their integrations. This book is designated for scholars, practitioners and doctoral and master’s degree students in various areas and those who are interested in the latest biometric and intelligent decision making support problems and means for their resolutions, biometric and intelligent decision making support systems and the theory and practice of their integration and the opportunities for the practical use of biometric and intelligent decision making support.

National Library of Medicine programs and services. 1990

National Library of Medicine programs and services. 1990
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :1972
  • Total pages :229
  • ISBN : STANFORD:24501755205
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Summary :

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 :Unknown
  • Release Date :2020-01-14
  • Total pages :367
  • ISBN : 9780128190623
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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 practitioners will find it very useful. Chapters go from basic methodology to advanced methods, including detailed descriptions of proposed approaches and comprehensive critical discussions on experimental results and how they are applied to Biomedical Engineering, Electronic Health Records, and medical image processing. Examines a wide range of Deep Learning applications for Biomedical Engineering and Health Informatics, including Deep Learning for drug discovery, clinical decision support systems, disease diagnosis, prediction and monitoring Discusses Deep Learning applied to Electronic Health Records (EHR), including health data structures and management, deep patient similarity learning, natural language processing, and how to improve clinical decision-making Provides detailed coverage of Deep Learning for medical image processing, including optimizing medical big data, brain image analysis, brain tumor segmentation in MRI imaging, and the future of biomedical image analysis

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
  • Author : Wang, John
  • Publisher :Unknown
  • Release Date :2008-05-31
  • Total pages :4092
  • ISBN : 9781599049526
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Summary : In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

Innovation in Medicine and Healthcare Systems, and Multimedia

Innovation in Medicine and Healthcare Systems, and Multimedia
  • Author : Yen-Wei Chen,Alfred Zimmermann,Robert J. Howlett,Lakhmi C. Jain
  • Publisher :Unknown
  • Release Date :2019-06-05
  • Total pages :619
  • ISBN : 9789811385667
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Summary : This book contains the proceedings of the KES International conferences on Innovation in Medicine and Healthcare (KES-InMed-19) and Intelligent Interactive Multimedia Systems and Services (KES-IIMSS-19), held on 17–19 June 2019 and co-located in St. Julians, on the island of Malta, as part of the KES Smart Digital Futures 2019 multi-theme conference. The major areas covered by KES-InMed-19 include: Digital IT Architecture in Healthcare; Advanced ICT for Medical and Healthcare; Biomedical Engineering, Trends, Research and Technologies and Healthcare Support System. The major areas covered by KES-IIMSS-19 were: Interactive Technologies; Artificial Intelligence and Data Analytics; Intelligent Services and Architectures and Applications. This book is of use to researchers in these vibrant areas, managers, industrialists and anyone wishing to gain an overview of the latest research in these fields.

Intelligent Human Systems Integration 2019

Intelligent Human Systems Integration 2019
  • Author : Waldemar Karwowski,Tareq Ahram
  • Publisher :Unknown
  • Release Date :2019-01-05
  • Total pages :925
  • ISBN : 9783030110512
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Summary : This book presents cutting-edge research on innovative human systems integration and human–machine interaction, with an emphasis on artificial intelligence and automation, as well as computational modeling and simulation. It covers a wide range of applications in the area of design, construction and operation of products, systems and services, including lifecycle development and human–technology interaction. The book describes advanced methodologies and tools for evaluating and improving interface usability, new models, and case studies and best practices in virtual, augmented and mixed reality systems, with a special focus on dynamic environments. It also discusses various factors concerning the human user, hardware, and artificial intelligence software. Based on the proceedings of the 2nd International Conference on Intelligent Human Systems Integration (IHSI 2019), held on February 7–10, 2019, in San Diego, California, USA, the book also examines the forces that are currently shaping the nature of computing and cognitive systems, such as the need to reduce hardware costs; the importance of infusing intelligence and automation; the trend toward hardware miniaturization and power reduction; the need for a better assimilation of computation in the environment; and social concerns regarding access to computers and systems for people with special needs. It offers a timely survey and a practice-oriented reference guide for policy- and decision-makers, human factors engineers, systems developers and users alike.

Library & Information Science Abstracts

Library & Information Science Abstracts
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :2001
  • Total pages :229
  • ISBN : UOM:39015079654797
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Summary :

The Future of Medical Practice

The Future of Medical Practice
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :1994-01-01
  • Total pages :97
  • ISBN : UOM:39015032717152
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Summary : Presents an analysis of forces affecting the environment of medical practice. Also, lists potential trends likely to influence medicine in the coming years.

Realizing the Promise of Precision Medicine

Realizing the Promise of Precision Medicine
  • Author : Paul Cerrato,John Halamka
  • Publisher :Unknown
  • Release Date :2017-08-24
  • Total pages :218
  • ISBN : 9780128116364
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Summary : Realizing the Promise of Precision Medicine: The Role of Patient Data, Mobile Technology, and Consumer Engagement explains the potential of personalized medicine and the value of those approaches in making that potential a reality. The book helps transform one-size-fits-all healthcare into a system that focuses on individual needs and the unique needs of each family member, discussing topics such as U.S. sponsored precision medicine initiative, genomics, the role of electronic health records and mobile medicine, patient engagement and empowerment, health information exchange and patient data protection. In addition, the book discusses the barriers and limitations of precision medicine and how to overcome them. Readers will find valuable insights into how big data, patient engagement, mobile technology, and genomics help individualize medical care and offer a pathway to help detect many undiscovered causes of diseases. Provides drawings and flow charts to help readers visualize the breadth and depth of precision medicine Includes sidebars with more details on specific topics for a complementary, deeper understanding of the main text Uses case studies to turn abstract concepts into flesh and blood examples of how personalized medicine benefits patients

Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice

Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice
  • Author : Daniel A. Hashimoto,Guy Rosman,Ozanan R. Meireles
  • Publisher :Unknown
  • Release Date :2021-07-09
  • Total pages :432
  • ISBN : 1260452735
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Summary : Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Build a solid foundation in surgical AI with this engaging, comprehensive guide for AI novices Machine learning, neural networks, and computer vision in surgical education, practice, and research will soon be de rigueur. Written for surgeons without a background in math or computer science, Artificial Intelligence in Surgery provides everything you need to evaluate new technologies and make the right decisions about bringing AI into your practice. Comprehensive and easy to understand, this first-of-its-kind resource illustrates the use of AI in surgery through real-life examples. It covers the issues most relevant to your practice, including: Neural Networks and Deep Learning Natural Language Processing Computer Vision Surgical Education and Simulation Preoperative Risk Stratification Intraoperative Video Analysis OR Black Box and Tracking of Intraoperative Events Artificial Intelligence and Robotic Surgery Natural Language Processing for Clinical Documentation Leveraging Artificial Intelligence in the EMR Ethical Implications of Artificial Intelligence in Surgery Artificial Intelligence and Health Policy Assessing Strengths and Weaknesses of Artificial Intelligence Research Finally, the appendix includes a detailed glossary of terms and important learning resources and techniques―all of which helps you interpret claims made by studies or companies using AI.

Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science
  • Author : Pieter Kubben,Michel Dumontier,Andre Dekker
  • Publisher :Unknown
  • Release Date :2018-12-21
  • Total pages :219
  • ISBN : 9783319997131
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Summary : This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

Machine Learning with Health Care Perspective

Machine Learning with Health Care Perspective
  • Author : Vishal Jain,Jyotir Moy Chatterjee
  • Publisher :Unknown
  • Release Date :2020-03-09
  • Total pages :415
  • ISBN : 9783030408503
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Summary : This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.