Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reliable Prediction for Detection of Heart Attack among People Using Twitter

Author : V. Diviya Prabha 1 R. Rathipriya 2

Date of Publication :21st February 2018

Abstract: Social Media is a powerful tool to gather public personal information through online. It acts as a mediator between patients and general people to communicate and share thoughts. The survey results that in South India nearly around 1.6 million are suffering from heart disease which leads to death. Data is taken from the twitter and prediction for detection of heart attack is obtained by logistic regression to create general awareness in public.

Reference :

    1. Haewoon Kwak, Changhyun Lee, Hosung Park and Sue Moon (2010). What is Twitter, a Social Network or a News Media? ¸We make our dataset publicly available online at http://an.kaist.ac.kr/traces/WWW2010.html
    2. Abhishanga, Upadhyay Luis Mao (2014). Mining data from Twitter
    3. T.J. Cleophas and A.H. Zwinderman, Machine Learning in Medicine(2013), DOI 10.1007/978-94-007- 5824-7_2, © Springer Science Business Media Dordrecht
    4. Sreejesh, Sanjay (2013). Chapter 11,”Binary Logistic Regressions”. Sreejesh et al., Business Research Methods,DOI:10.1007/978-3-319-00539-3_11,@Springer International Publishing Switzerland pp :245-258.
    5. G. Rodiguez ( 2007), Chapter 3,"Logit Models for Binary Data". Pp 3-50
    6. Archer, K. J., S. Lemeshow, and Hosmer, D. W., (2007). The goodness of fit tests for logistic regression models when data are collected using a complex sampling design. Computational Statistics & Data Analysis 51

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