Cited By
View all- Al-Zubaidie MZhang ZZhang J(2020)REISCH: Incorporating Lightweight and Reliable Algorithms into Healthcare Applications of WSNsApplied Sciences10.3390/app1006200710:6(2007)Online publication date: 15-Mar-2020
Survey: Big Data Application in Biomedical Research
Pages 174 - 178
Abstract
In recent years, the emergence of diverse applications created a plethora of data and immense sources that can be applied in varying areas of the industry worldwide escalating its capabilities including biomedicine. Subsequently, analytical tools loomed to leverage the availability of massive data to analyze and elicit meaningful information to improve biomedical research and enhance healthcare systems. Algorithms applied in these analytical tools supplements the prognosis of diseases and personalized treatment of fatal diseases. This survey will evaluate algorithms used in bio medical research for personalized precision medicine, dissect the characteristics that made breakthrough in improving the efficiency of the analytical tool and identify the possible applicability in other diseases. It will focus on the machine learning and deep learning algorithms, both supervised and unsupervised that is applied in terminal diseases.
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Index Terms
- Survey: Big Data Application in Biomedical Research
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February 2018
260 pages
ISBN:9781450364102
DOI:10.1145/3192975
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- Macquarie University-Sydney
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Publication History
Published: 24 February 2018
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ICCAE 2018
ICCAE 2018: 2018 10th International Conference on Computer and Automation Engineering
February 24 - 26, 2018
Brisbane, Australia
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View all- Al-Zubaidie MZhang ZZhang J(2020)REISCH: Incorporating Lightweight and Reliable Algorithms into Healthcare Applications of WSNsApplied Sciences10.3390/app1006200710:6(2007)Online publication date: 15-Mar-2020
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