ENGLISH

Advanced Data Analytics in Health

Book information

Publisher
Springer International Publishing
Year
2018
ISBN
978-3-319-77910-2, 978-3-319-77911-9
Language
english
Format
PDF
Filesize
6 MB (5982899 bytes)
Series
Smart Innovation, Systems and Technologies 93
Edition
1st ed.
Pages
XIV, 216\221
Time added
2018-08-15 07:07:45

Description

This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health. Front Matter ....Pages i-xiv Front Matter ....Pages 1-1 Dimensionality Reduction for Exploratory Data Analysis in Daily Medical Research (Dominic Giradi, Andreas Holzinger)....Pages 3-20 Navigating Complex Systems for Policymaking Using Simple Software Tools (Philippe J. Giabbanelli, Magda Baniukiewicz)....Pages 21-40 Front Matter ....Pages 41-41 An Agent-Based Model of Healthy Eating with Applications to Hypertension (Amin Khademi, Donglan Zhang, Philippe J. Giabbanelli, Shirley Timmons, Chengqian Luo, Lu Shi)....Pages 43-58 Soft Data Analytics with Fuzzy Cognitive Maps: Modeling Health Technology Adoption by Elderly Women (Noshad Rahimi, Antonie J. Jetter, Charles M. Weber, Katherine Wild)....Pages 59-74 Front Matter ....Pages 75-75 Machine Learning for the Classification of Obesity from Dietary and Physical Activity Patterns (Arielle S. Selya, Drake Anshutz)....Pages 77-97 Classifying Mammography Images by Using Fuzzy Cognitive Maps and a New Segmentation Algorithm (Abdollah Amirkhani, Mojtaba Kolahdoozi, Elpiniki I. Papageorgiou, Mohammad R. Mosavi)....Pages 99-116 Text-Based Analytics for Biosurveillance (Lauren E. Charles, William Smith, Jeremiah Rounds, Joshua Mendoza)....Pages 117-131 Front Matter ....Pages 133-133 Young Adults, Health Insurance Expansions and Hospital Services Utilization (Teresa B. Gibson, Zeynal Karaca, Gary Pickens, Michael Dworsky, Eli Cutler, Brian J. Moore et al.)....Pages 135-149 The Impact of Patient Incentives on Comprehensive Diabetes Care Services and Medical Expenditures (Teresa B. Gibson, J. Ross Maclean, Ginger S. Carls, Emily D. Ehrlich, Brian J. Moore, Colin Baigel)....Pages 151-162 Analyzing the Complexity of Behavioural Factors Influencing Weight in Adults (Philippe J. Giabbanelli)....Pages 163-181 Front Matter ....Pages 183-183 The Cornerstones of Smart Home Research for Healthcare (Kevin Bouchard, Jianguo Hao, Bruno Bouchard, Sébastien Gaboury, Mohammed Tarik Moutacalli, Charles Gouin-Vallerand et al.)....Pages 185-200 Challenges and Cases of Genomic Data Integration Across Technologies and Biological Scales (Shamith A. Samarajiwa, Ioana Olan, Dóra Bihary)....Pages 201-216

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