Application of data analytics principles in healthcare

Title

Application of data analytics principles in healthcare

Creator

Arokia Paul Rajan R.

Description

Information technology has transformed the healthcare field worldwide. In many areas of the healthcare industry, implementations of data analytics tools are commonly used recently. Applying data analytics principles in medical sciences appropriately transforms the mere storage of medical records in to discovery of drugs. Data science and analytics are essential tools because they can help make better decisions when it comes to spending and reducing inefficiencies in healthcare. The proposed model of healthcare data analytics provides a framework to accelerate the adoption and implementation of predictive analytics in healthcare. Healthcare data analytics can be applied to prove formulated hypotheses, test those using standard analytics models and predict patient health conditions. It can be used to classify patients at risk of developing diseases such as diabetes, asthma, and other life-long illnesses. In spite of the challenges faced while applying data science predictive analytics in the healthcare environment, there is an enormous opportunity for its usage in providing quality healthcare for patients. BEIESP.

Source

International Journal of Recent Technology and Engineering, Vol-8, No. 2 Special Issue 11, pp. 3151-3155.

Date

2019-01-01

Publisher

Blue Eyes Intelligence Engineering and Sciences Publication

Subject

Data analytics; Data mining; Healthcare; Healthcare informatics; Predictive analytics

Coverage

Arokia Paul Rajan R., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, Karnataka, India

Rights

All Open Access; Gold Open Access

Relation

ISSN: 22773878

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.35940/ijrte.B1411.0982S1119

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