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Big Data Predictive Analysis for Detection of Prostate Cancer on Cloud-Based Platform: Microsoft Azure

Big Data Predictive Analysis for Detection of Prostate Cancer on Cloud-Based Platform: Microsoft Azure

Ritesh Anilkumar Gangwal, Ratnadeep R. Deshmukh, M. Emmanuel
Copyright: © 2019 |Pages: 20
ISBN13: 9781522575016|ISBN10: 1522575014|EISBN13: 9781522575023
DOI: 10.4018/978-1-5225-7501-6.ch051
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MLA

Gangwal, Ritesh Anilkumar, et al. "Big Data Predictive Analysis for Detection of Prostate Cancer on Cloud-Based Platform: Microsoft Azure." Web Services: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 933-952. https://doi.org/10.4018/978-1-5225-7501-6.ch051

APA

Gangwal, R. A., Deshmukh, R. R., & Emmanuel, M. (2019). Big Data Predictive Analysis for Detection of Prostate Cancer on Cloud-Based Platform: Microsoft Azure. In I. Management Association (Ed.), Web Services: Concepts, Methodologies, Tools, and Applications (pp. 933-952). IGI Global. https://doi.org/10.4018/978-1-5225-7501-6.ch051

Chicago

Gangwal, Ritesh Anilkumar, Ratnadeep R. Deshmukh, and M. Emmanuel. "Big Data Predictive Analysis for Detection of Prostate Cancer on Cloud-Based Platform: Microsoft Azure." In Web Services: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 933-952. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7501-6.ch051

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Abstract

Big data as the name would refer to a subsequently large quantity of data which is being processed. With the advent of social media the data presently available is text, images, audio video. In order to process this data belonging to variety of format led to the concept of Big Data processing. To overcome these challenges of data, big data techniques evolved. Various tools are available for the big data naming MAP Reduce, etc. But to get the taste of Cloud based tool we would be working with the Microsoft Azure. Microsoft Azure is an integrated environment for the Big data analytics along with the SaaS Cloud platform. For the purpose of experiment, the Prostate cancer data is used to perform the predictive analysis for the Cancer growth in the gland. An experiment depending on the segmentation results of Prostate MRI scans is used for the predictive analytics using the SVM. Performance analysis with the ROC, Accuracy and Confusion matrix gives the resultant analysis with the visual artifacts. With the trained model, the proposed experiment can statistically predict the cancer growth.

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