UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 6 Issue 1
January-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRDY06173


Registration ID:
232970

Page Number

1040-1048

Share This Article


Jetir RMS

Title

Diagnosis and Classification of Thyroid Disorder using Machine Learning - A Systematic Review

Abstract

machine learning has been used intensively and extensively by organizations arround the globe. it is proving to be handy in healthcare as well. the huge quantity of data collected and produced by health and human services are complicated and needs to be refined and examined by conventional techniques., machine learning generally involves utilization of data mining techniques and some associated learning algorithm to construct models of what is going in the reserviour of data. it provides methodology and technology to transform these heaps of data into useful information which can be used for decision making or predicting future outcomes. this information is extracted through various data mining techniques and algorithms such as association, classification, clustering, and pattern recognition and is of great use to the medical experts. the authors present the most relevant and recent research, the approaches and techniques that are followed for early diagnosis of Thyroid. the outcome of the review suggests that the accuracy of prediction can be enhanced by implementing ensemble classifier rather than a straightforward classification algorithm.

Key Words

Thyroid; Prediction; Diagnosis; Classification

Cite This Article

"Diagnosis and Classification of Thyroid Disorder using Machine Learning - A Systematic Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.1040-1048, January 2019, Available :http://www.jetir.org/papers/JETIRDY06173.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Diagnosis and Classification of Thyroid Disorder using Machine Learning - A Systematic Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp1040-1048, January 2019, Available at : http://www.jetir.org/papers/JETIRDY06173.pdf

Publication Details

Published Paper ID: JETIRDY06173
Registration ID: 232970
Published In: Volume 6 | Issue 1 | Year January-2019
DOI (Digital Object Identifier):
Page No: 1040-1048
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002964

Print This Page

Current Call For Paper

Jetir RMS