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Diabetes Data Analysis Using MapReduce with Hadoop

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Engineering Vibration, Communication and Information Processing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 478))

Abstract

Big data is the collection of complex and huge amount of data that comes from different sources such as social media, online transaction details, sensor data, etc. Such collection of voluminous data becomes hard to analyze using traditional processing applications. In healthcare system, doctors prescribed the insulin to the diabetic patients and the decision is based on the patient’s previous record and measure the sugar level at the regular intervals. The aim of this paper is to analyze the medical database of diabetes patients using data mining algorithms such as decision tree and naïve Bayes. This analysis is done using UCI machine learning datasets of diabetes having four features for the training phase. The results have shown that the decision tree algorithm has the more accuracy, precision, recall, and F-measure than naïve Bayes.

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Authors and Affiliations

  1. Department of Computer Science, Punjabi University, Patiala, India

    Sunil Kumar & Maninder Singh

Authors
  1. Sunil Kumar
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  2. Maninder Singh
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Corresponding author

Correspondence to Sunil Kumar .

Editor information

Editors and Affiliations

  1. Amity School of Applied Sciences, Amity University Rajasthan, Jaipur, Rajasthan, India

    Kanad Ray

  2. Department of Electrical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India

    S. N. Sharan

  3. Department of Electronics and Communication Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sanyog Rawat

  4. Department of Physics, Manipal University Jaipur, Jaipur, Rajasthan, India

    S. K. Jain

  5. Department of Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sumit Srivastava

  6. ANCC, National Institute for Materials Science, Tsukuba, Ibaraki, Japan

    Anirban Bandyopadhyay

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Kumar, S., Singh, M. (2019). Diabetes Data Analysis Using MapReduce with Hadoop. In: Ray, K., Sharan, S., Rawat, S., Jain, S., Srivastava, S., Bandyopadhyay, A. (eds) Engineering Vibration, Communication and Information Processing. Lecture Notes in Electrical Engineering, vol 478. Springer, Singapore. https://doi.org/10.1007/978-981-13-1642-5_15

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  • DOI: https://doi.org/10.1007/978-981-13-1642-5_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1641-8

  • Online ISBN: 978-981-13-1642-5

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