IJBTT

Mining Patient Health Care Service Opinions for Hospital Recommendations

Mining Patient Health Care Service Opinions for Hospital Recommendations
	© 2021 by IJETT Journal
	Volume-69 Issue-9
	Year of Publication : 2021
	Authors : G.Sabarmathi, Dr.R.Chinnaiyan
	DOI :  10.14445/22315381/IJETT-V69I9P220

How to Cite?

G.Sabarmathi, Dr.R.Chinnaiyan, "Mining Patient Health Care Service Opinions for Hospital Recommendations," International Journal of Engineering Trends and Technology, vol. 69, no. 9, pp. 161-167, 2021. Crossref, https://doi.org/10.14445/22315381/IJETT-V69I9P220

Abstract
Patient’s experience within the hospital environment is of paramount importance for the health care sector. Online reviews are recognized as the significant yardstick to scale the hospital`s performance. This research proposes a novel machine learning-based ensemble classifier model to interpret the reviews in terms of patient’s experience and for the hospital recommendation system. The outcomes were compared with various machine learning classifications using a cross-validation approach to predict the most accurate model. The predicted result brings out an interesting viewpoint that avails the healthcare sector an opportunity to look into their service offerings in improving patient’s experience and hospital recommendation systems.

Keywords
Patient Reviews, Machine Learning, Classification, ensemble, recommendation

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