Form of presentation | International monographs |
Year of publication | 2017 |
Язык | английский |
|
Mustafina Dzhamilya Nasykhovna, author
|
Bibliographic description in the original language |
Big Data and Data Science Applications for Independent and Healthy Living
DOI10.1007/978-3-319-60137-3_5
In book: Technology for Smart Futures, pp.77-111, Springer |
Annotation |
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 |
Keywords |
smart living, big data, data mining, real world application |
URL |
https://link.springer.com/chapter/10.1007/978-3-319-60137-3_5 |
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=168925&p_lang=2 |
Full metadata record |
Field DC |
Value |
Language |
dc.contributor.author |
Mustafina Dzhamilya Nasykhovna |
ru_RU |
dc.date.accessioned |
2017-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2017-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2017 |
ru_RU |
dc.identifier.citation |
Big Data and Data Science Applications for Independent and Healthy Living
DOI10.1007/978-3-319-60137-3_5
In book: Technology for Smart Futures, pp.77-111, Springer |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=168925&p_lang=2 |
ru_RU |
dc.description.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 |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
smart living |
ru_RU |
dc.subject |
big data |
ru_RU |
dc.subject |
data mining |
ru_RU |
dc.subject |
real world application |
ru_RU |
dc.title |
Big Data and Data Science Applications for Independent and Healthy Living |
ru_RU |
dc.type |
International monographs |
ru_RU |
|