PREDICTIVE ANALYTICS OF HEALTHCARE DATA

Apurva Waghmare; Sweetlin Hemalatha

doi:10.22159/ajpcr.2017.v10s1.19750

Authors

Apurva Waghmare School of Computer Science and Engineering, VIT University, Chennai, Tamil Nadu, India.
Sweetlin Hemalatha School of Computer Science and Engineering, VIT University, Chennai, Tamil Nadu, India.

DOI:

https://doi.org/10.22159/ajpcr.2017.v10s1.19750

Keywords:

Predictive Analytics, Machine Learning, Nil, Logistic Regression, Random Forest

Abstract

Predictive analytics is employed to improve the ability to take precautionary measures during medical emergencies. In health care, the sensor-based
data are generated daily which can be used to predict future data using regression model. In this paper, pain dataset from integrating data for analysis,
anonimyzation, and sharing repository is used for experimenting different machine algorithms. The results show that logistic regression gives more
accuracy than other algorithms.

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References

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nd

Available from: http://www.biostat.jhsph.edu/~fdominic/teaching/bio655/data/data.html.

Available from: http://www.biostat.jhsph.edu/~fdominic/teaching/bio655/data/text/back.raw.

DOI: 10.15147/J2QP4X.