Intelligent and immersive visual analytics of health data
- Publisher:
- Springer Berlin Heidelberg
- Publication Type:
- Chapter
- Citation:
- Studies in Computational Intelligence, 2020, 891, pp. 29-44
- Issue Date:
- 2020-01-01
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| Pages from 2020_Book_AdvancedComputationalIntellige.pdf | Published version | 665.39 kB |
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© Springer-Verlag GmbH Germany, part of Springer Nature 2020. Massive amounts of health data have been created together with the advent of computer technologies and next generation sequencing technologies. Analytical techniques can significantly aid in the processing, integration and interpretation of the complex data. Visual analytics field has been rapidly evolving together with the advancement in automated analysis methods such as data mining, machine learning and statistics, visualization, and immersive technologies. Although automated analysis processes greatly support the decision making, conservative domains such as medicine, banking, and insurance need trusts on machine learning models. Explainable artificial intelligence could open the black boxes of the machine learning models to improve the trusts for decision makers. Immersive technologies allow the users to engage naturally with the blended reality in where they can look the information in different angles in addition to traditional screens. This chapter reviews and discusses the intelligent visualization, artificial intelligence and immersive technologies in health domain. We also illustrate the ideas with various case studies in genomic data visual analytics.
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