Open AccessPREDICTIVE ANALYTICS OF HEALTHCARE DATA
Author(s) -
S. Hemalatha,
Apurva Waghmare
Publication year - 2017
Publication title -
asian journal of pharmaceutical and clinical research
Language(s) - English
Resource type - Journals
eISSN - 2455-3891
pISSN - 0974-2441
DOI - 10.22159/ajpcr.2017.v10s1.19750
Subject(s) - predictive analytics , logistic regression , computer science , analytics , health care , data analysis , data mining , regression analysis , regression , machine learning , predictive modelling , artificial intelligence , statistics , mathematics , economics , economic growth
Predictive analytics is employed to improve the ability to take precautionary measures during medical emergencies. In health care, the sensor-baseddata 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 moreaccuracy than other algorithms.