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Big Data and Data Science Applications for Independent and Healthy Living

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Technology for Smart Futures

Abstract

Paralleling the state of human progress, developments in healthcare reflect a deeply entrained drive to improve the parameters governing our own existence, including both those which threaten to disrupt our biological functions and followed by those which limit our ability to improve the effectiveness of the former [1, 2]. The technology of the past has allowed us to improve the conditions of our environment and to undertake limited medical interventions in the absence of a direct understanding of disease-causing mechanisms [2]. It is the arrival of the modern era that has opened unprecedented understanding of biological systems and disease mechanisms [3–9], yet such depth of knowledge has also brought a wider realisation of the full complexity and scale of the systems responsible for the biological processes underpinning our existence [10–13]. It is clear that in order to rise to the unprecedented challenges presented by such novel domains, the methods at our disposal must be advanced accordingly to support the changing nature of our task frameworks. The idea that representable forms of information processing may underpin familiar (and novel) forms of intelligence, such as the human brain, raises the possibility that intelligence itself may be practically simulated in alternative settings, for example, via computation, providing a capacity to sustainably address problems of arbitrary complexity. The field of intelligent systems, a research direction within the wider field of artificial intelligence (AI), is concerned with enabling the computational resources of today for the construction of systems that may respond to problems through intelligent abstractions, whose parameters differ from human cognition. Through the combination of computational infrastructure and the patterns of intelligence in this way, it is conceivable that the frontiers of healthcare and medicine may be sustainably advanced to address the broad challenges that underpin the current era.

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Acknowledgements

We would like to thank the following PhD candidates, currently studying at Liverpool John Moores University, who kindly contributed the six case studies used in this chapter: Case Study 1, Jade Hind; Case Study 2, Rounaq Abbas; Case Study 3, Ibrahim Idowu; Case Study 4, Mohammed Khalaf; Case Study 5, Basma Abdulaimma; and Case Study 6, Casimiro Aday Curbelo Montañez.

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  1. Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, UK

    Robert Keight, Dhiya Al-Jumeily, Abir Hussain & Paul Fergus

  2. Kazan Federal University, Kazan, Russia

    Jamila Mustafina

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Correspondence to Dhiya Al-Jumeily .

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  2. Department of Computer Science, The University of Georgia, Athens, Georgia, USA

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  3. Sheffield Hallam University, Sheffield, United Kingdom

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Keight, R., Al-Jumeily, D., Hussain, A., Fergus, P., Mustafina, J. (2018). Big Data and Data Science Applications for Independent and Healthy Living. In: Dastbaz, M., Arabnia, H., Akhgar, B. (eds) Technology for Smart Futures. Springer, Cham. https://doi.org/10.1007/978-3-319-60137-3_5

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