An Algorithm for Health Informatics Based on Extreme Machine Learning
Author(s):
SHARAD GARG, CHANDRA SHEKHAR YADAV, AREEBA KAZIM
Keywords:
dataset, health, machine learning
Abstract
Health-care organisations may foresee patterns in a patient's medical condition and behaviour by using data mining, which entails examining several options and establishing connections between apparently unrelated bits of information. The volume and variety of raw data generated by healthcare institutions make it difficult to make sense of everything. Data must be collected and stored in an organised manner, as well as integrated, in order to develop a unified medical information system. In health, data mining permits the examination of a diverse set of data models that are unavailable or obscured by conventional analytical techniques. The objective of this research is to take a diabetic health dataset and analyse it using machine learning techniques to increase diabetes prediction accuracy.
Article Details
Unique Paper ID: 155377

Publication Volume & Issue: Volume 8, Issue 10

Page(s): 73 - 77
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies