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Bioinformatics as Applied to Medicine: Challenges Faced Moving From Big Data to Smart Data to Wise Data

Bioinformatics as Applied to Medicine: Challenges Faced Moving From Big Data to Smart Data to Wise Data

Paraskevi Papadopoulou, Miltiadis Lytras, Christina Marouli
Copyright: © 2019 |Pages: 25
ISBN13: 9781522589037|ISBN10: 1522589031|EISBN13: 9781522589044
DOI: 10.4018/978-1-5225-8903-7.ch008
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MLA

Papadopoulou, Paraskevi, et al. "Bioinformatics as Applied to Medicine: Challenges Faced Moving From Big Data to Smart Data to Wise Data." Biotechnology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 185-209. https://doi.org/10.4018/978-1-5225-8903-7.ch008

APA

Papadopoulou, P., Lytras, M., & Marouli, C. (2019). Bioinformatics as Applied to Medicine: Challenges Faced Moving From Big Data to Smart Data to Wise Data. In I. Management Association (Ed.), Biotechnology: Concepts, Methodologies, Tools, and Applications (pp. 185-209). IGI Global. https://doi.org/10.4018/978-1-5225-8903-7.ch008

Chicago

Papadopoulou, Paraskevi, Miltiadis Lytras, and Christina Marouli. "Bioinformatics as Applied to Medicine: Challenges Faced Moving From Big Data to Smart Data to Wise Data." In Biotechnology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 185-209. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8903-7.ch008

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Abstract

The emerging advances of Bioinformatics have already contributed toward the establishment of better next generation medicine and medical systems by putting emphasis on improvement of prognosis, diagnosis and therapy of diseases including better management of medical systems. The purpose of this chapter is to explore ways by which the use of Bioinformatics and Smart Data Analysis will provide an overview and solutions to challenges in the fields of genomics, medicine and Health Informatics. The focus of this chapter would be on Smart Data Analysis and ways needed to filter out the noise. The chapter addresses challenges researchers and data analysts are facing in terms of the developed computational methods used to extract insights from NGS and high-throughput screening data. In this chapter the concept “Wise Data” is proposed reflecting the distinction between individual health and wellness on the one hand, and social improvement, cohesion and sustainability on the other, leading to more effective medical systems, healthier individuals and more socially cohesive societies.

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