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Information Technology in Bio- and Medical Informatics

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Cover of 'Information Technology in Bio- and Medical Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 What Do the Data Say in 10 Years of Pneumonia Victims? A Geo-Spatial Data Analytics Perspective
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    Chapter 2 Ontology-Guided Principal Component Analysis: Reaching the Limits of the Doctor-in-the-Loop
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    Chapter 3 Enhancing EHR Systems Interoperability by Big Data Techniques
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    Chapter 4 Integrating Open Data on Cancer in Support to Tumor Growth Analysis
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    Chapter 5 Filter Bank Common Spatio-Spectral Patterns for Motor Imagery Classification
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    Chapter 6 Adaptive Segmentation Optimization for Sleep Spindle Detector
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    Chapter 7 Probabilistic Model of Neuronal Background Activity in Deep Brain Stimulation Trajectories
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    Chapter 8 Multidisciplinary Team Meetings - A Literature Based Process Analysis
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    Chapter 9 A Model for Semantic Medical Image Retrieval Applied in a Medical Social Network
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    Chapter 10 A Clinical Case Simulation Tool for Medical Education
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    Chapter 11 Covariate-Related Structure Extraction from Paired Data
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    Chapter 12 Semantic Annotation of Medical Documents in CDA Context
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    Chapter 13 Importance and Quality of Eating Related Photos in Diabetics
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    Chapter 14 Univariate Analysis of Prenatal Risk Factors for Low Umbilical Cord Artery pH at Birth
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    Chapter 15 Applying Ant-Inspired Methods in Childbirth Asphyxia Prediction
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    Chapter 16 Tumor Growth Simulation Profiling
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    Chapter 17 Integrated DB for Bioinformatics: A Case Study on Analysis of Functional Effect of MiRNA SNPs in Cancer
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    Chapter 18 The Database-is-the-Service Pattern for Microservice Architectures
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    Chapter 19 A Comparison Between Classification Algorithms for Postmenopausal Osteoporosis Prediction in Tunisian Population
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    Chapter 20 Process Mining: Towards Comparability of Healthcare Processes
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Title
Information Technology in Bio- and Medical Informatics
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-43949-5
ISBNs
978-3-31-943948-8, 978-3-31-943949-5
Editors

M. Elena Renda, Miroslav Bursa, Andreas Holzinger, Sami Khuri

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The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 25%
Student > Bachelor 2 25%
Professor 1 13%
Student > Ph. D. Student 1 13%
Researcher 1 13%
Other 1 13%
Readers by discipline Count As %
Unspecified 2 25%
Nursing and Health Professions 2 25%
Computer Science 2 25%
Engineering 2 25%