Innovation in medicine and healthcare 2014 /

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Bibliographic Details
Corporate author / creator:KES International. Conference on Innovation in Medicine and Healthcare (2nd : 2014 : San Sebastian, Spain), author.
Imprint:Amsterdam : IOS Press, [2014]
©2014
Description:1 online resource (x, 416 pages) : illustrations
Language:English
Series:Studies in Health Technology and Informatics ; volume 207
Studies in health technology and informatics ; v. 207.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11907008
Hidden Bibliographic Details
Other authors / contributors:Graña, Manuel, 1958- editor.
Toro, Carlos (Computer science researcher), editor.
Howlett, Robert J., 1954- editor.
KES International, organizer.
IOS Press.
ISBN:9781614994749
1614994749
9781614994732
Notes:Includes indexes.
Includes bibliographical references at the end of each chapters and indexes.
Online resource; title from PDF title page (IOS Press, viewed January 21, 2015).
Summary:Advances are constantly being made in the fields of medicine and healthcare, and keeping abreast of them is not always easy. This book presents the proceedings of the second KES International Conference on Innovation in Medicine and Healthcare (InMed 14), held in San Sebastian, Spain, in July 2014. The conference was attended by researchers and engineers, managers, students and practitioners from a broad spectrum of medically related fields, and this multidisciplinary group discussed the ways in which technological and methodological innovation, knowledge exchange and enterprise can be applied.
Other form:Print version: Innovation in medicine and healthcare 2014. Amsterdam, Netherlands : IOS Press, ©2014 x, 416 pages Studies in health technology and informatics ; Volume 207 9781614994732
Table of Contents:
  • Title Page; Preface; Contents; Activity Classification Using Mobile Phone Based Motion Sensing and Distributed Computing; Multimodal Image Data Fusion for Alzheimer's Disease Diagnosis by Sparse Representation; Statistical Significance in the Selection of the Regions of Interest for Parkinson Brain Image Processing; Review and Challenges of Brain Analysis Through DTI Measurements; Gated Sensor Fusion: A Way to Improve the Precision of Ambulatory Human Body Motion Estimation; Automatic Vessel Shade-Robust Segmentation of Retinal Layers in OCT Images.
  • Computer Aided Diagnosis System for Retinal Analysis: Automatic Assessment of the Vascular TortuosityAffine Registration of [123I]FP-CIT SPECT Brain Images; Texture Descriptors Based on Dijkstra's Algorithm for Medical Image Analysis; Analysis of Virus Textures in Transmission Electron Microscopy Images; Handling Varying Amounts of Missing Data when Classifying Mental-Health Risk Levels; Method for Building a Medical Training Simulator with Bayesian Networks: SimDeCS; A Double Closed Loop to Enhance the Quality of Life of Parkinson's Disease Patients: REMPARK System.
  • IEEE 802.14.5/ZigBee Based WSNs
  • WPANs and Innovative Application in Medical Health Care SystemsDevelopment of Braided Fiber-Based Stents; The Main Issues of Enhancement of the Effectiveness of Medical Services Provided to the Children's Population in Republic Armenia; Two Innovative Healthcare Technologies at the Intersection of Serious Games, Alternative Realities, and Play Therapy; Study on Fibrous Materials for Brain Phantoms; Automatic Assessment of Tear Film Break-Up Dynamics.
  • Validation of a Computerized Technique for Automatically Tracking and Measuring the Inferior Vena Cava in Ultrasound ImageryUnderstanding Data Collection Behaviour of Mental Health Practitioners; Case Mining for Research Findings in a Case-Based Reasoning System in the Biology of Aging; Improving Detection of Apneic Events by Learning from Examples and Treatment of Missing Data; Projecting MRI Brain Images for the Detection of Alzheimer's Disease; Specification of Extended Reflexive Ontologies in the Context of CDSS; Nevus and Melanoma Paraconsistent Classification.
  • Linear Intensity Normalization of DaTSCAN Images Using Mean Square Error and a Model-Based Clustering ApproachHygehos Home: An Innovative Remote Follow-Up System for Chronic Patients; Automatic Classification of Segmented MRI Data Combining Independent Component Analysis and Support Vector Machines; Smart Stress Management System for Media and Arts Employees; Representing Human Expertise by the OWL Web Ontology Language to Support Knowledge Engineering in Decision Support Systems; Findings in Resting-State fMRI by Differences from K-Means Clustering.