A study on prediction of health care data using machine learning

Title

A study on prediction of health care data using machine learning

Creator

Balamurugan M.; Krishna A.V.N.; Balachandran K.; Bhuvana J.

Description

Every clinical-decision relies on the doctors experience and knowledge. Perhaps this conventional practice may look appropriate, but it may lead to unpredictable errors, biases, and maximized costs that may affect QoS (Quality-of-Service) given to patients. To help the doctor to save time, the conventional practice to analyze the data for clinical-decision support has to be updated. Machine Learning (ML) and Data Mining (DM) algorithms have applied to have greater and higher predictions. This paper studies a set of ML algorithms by which clinical-predictions are going to be more appropriate and cost-effective. IJSTR 2020.

Source

International Journal of Scientific and Technology Research, Vol-9, No. 4, pp. 616-620.

Date

2020-01-01

Publisher

International Journal of Scientific and Technology Research

Subject

Classification; Clustering; Data mining; Electronic-Health Record(HER); Health care; Health informatics; Machine Learning

Coverage

Balamurugan M., Department of CSE, CHRIST (Deemed to be University), Bengaluru, India; Krishna A.V.N., Department of CSE, CHRIST (Deemed to be University), Bengaluru, India; Balachandran K., Department of CSE, CHRIST (Deemed to be University), Bengaluru, India; Bhuvana J., Department of MCA, Jain (Deemed to be University), Bengaluru, India

Rights

Restricted Access

Relation

ISSN: 22778616

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083546967&partnerID=40&md5=5ddc313efb86a43f78818f1b33cdd742