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Title Applied computing in medicine and health / edited by Dhiya Al-Jumeily, Abir Hussain, Conor Mallucci, Carol Oliver
Published Amsterdam : Elsevier, ©2016

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Description 1 online resource (367)
Series Emerging topics in computer science and applied computing
Emerging topics in computer science and applied computing
Contents THE ORGANIZATION OF THE BOOKChapter 1 -- Early Diagnosis of Neurodegenerative Diseases from Gait Discrimination to Neural Synchronization -- INTRODUCTION -- RESEARCH CHALLENGES -- NEURODEGENERATIVE DISEASES -- CLASSIFICATION ALGORITHMS FOR NDDS -- NEURAL SYNCHRONIZATION AND DATA COLLECTION -- NEURAL SYNCHRONY MEASUREMENT TECHNIQUE -- DATA DESCRIPTION AND DATA FILTERING -- DIFFERENT APPROACHES TO COMPUTE EEG SYNCHRONY -- STATISTICAL ANALYSIS -- CONCLUSION -- REFERENCES
Chapter 2 -- Lifelogging Technologies to Detect Negative Emotions Associated with Cardiovascular DiseaseINTRODUCTION -- BACKGROUND -- RESEARCH CHALLENGES -- SUMMARY -- Acknowledgements -- REFERENCES -- Chapter 3 -- Gene Selection Methods for Microarray Data -- INTRODUCTION TO GENE SELECTION -- FEATURE SELECTION ALGORITHMS BASED ON WRAPPER APPROACH -- UNSUPERVISED FILTER BASED FEATURE SELECTION ALGORITHMS -- CONCLUSIONS -- REFERENCES -- Chapter 4 -- Brain MRI Intensity Inhomogeneity Correction Using Region of Interest, Anatomic Structural Map, and Outlier Det ..
INTRODUCTIONMATHEMATICAL MODELS OF BIAS FIELD -- DESIGN TECHNIQUES OF CURRENT ALGORITHMS -- IMPORTANCE OF CURRENT ALGORITHMS -- METHODS -- EXPERIMENTAL DESIGN -- DISCUSSION -- CONCLUSION -- REFERENCES -- Chapter 5 -- Leveraging Big Data Analytics for Personalized Elderly Care: Opportunities and Challenges -- INTRODUCTION -- THE CHALLENGE OF PERSONALIZATION IN ELDERLY CARE -- BIG DATA ANALYTICS FOR ELDERLY CARE -- PROPOSED FRAMEWORK -- EXAMPLE SCENARIO -- DISCUSSION AND CONCLUSION -- REFERENCES
Chapter 6 -- Prediction of Intrapartum Hypoxia from Cardiotocography Data Using Machine LearningINTRODUCTION -- MONITORING INTRAPARTUM FETAL HYPOXIA -- AMBULATORY CTG MONITORING -- PROPOSED METHODOLOGY -- FUTURE RESEARCH DIRECTIONS -- CONCLUSIONS -- REFERENCES -- Chapter 7 -- Recurrent Neural Networks in Medical Data Analysis and Classifications -- INTRODUCTION -- MEDICAL DATA PREPROCESSING -- CLASSIFICATION -- RNNS FOR CLASSIFICATION -- INTRODUCTION TO PRETERM -- ELECTROHYSTEROGRAM -- UTERINE EHG SIGNAL PROCESSING -- MODELING RNN FOR FORECASTING
Summary Applied Computing in Medicine and Health is a comprehensive presentation of on-going investigations into current applied computing challenges and advances, with a focus on a particular class of applications, primarily artificial intelligence methods and techniques in medicine and health. Applied computing is the use of practical computer science knowledge to enable use of the latest technology and techniques in a variety of different fields ranging from business to scientific research. One of the most important and relevant areas in applied computing is the use of artificial intelligence
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (EBSCO, viewed September 9, 2015)
Subject Medicine -- Data processing.
Medical informatics.
Medical Informatics Applications
Medical Informatics
HEALTH & FITNESS -- Holism.
HEALTH & FITNESS -- Reference.
MEDICAL -- Alternative Medicine.
MEDICAL -- Atlases.
MEDICAL -- Essays.
MEDICAL -- Family & General Practice.
MEDICAL -- Holistic Medicine.
MEDICAL -- Osteopathy.
Medical informatics
Medicine -- Data processing
Form Electronic book
Author Al-Jumeily, Dhiya, editor
Hussain, Abir, editor.
Mallucci, Conor, editor.
Oliver, Carol, editor
ISBN 012803498X
9780128034989