INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
An Efficient Framework for Cryotherapy with Apriori based Probability Tree Classifier(APTC)
Authors Name:
A. Kowshika
, Dr. M. Gobi
Unique Id:
IJSDR1910008
Published In:
Volume 4 Issue 10, October-2019
Abstract:
Machine-learning (ML) methods are applied in many different medical applications such as understanding the disease developments, diagnosing and choosing a treatment method. Machine-learning (ML) methods have the great importance when it applied interdisciplinary. Besides several areas, ML methods save cost factor and time in medical applications. In this study, we experimented several ML methods with different approaches on Cryotherapy dataset, which are applied on wart treatment. Apriori based Probability Tree Classifier (APTC) and naive bayes used to predicts if warts can be healed by the cryotherapy treatment.
"An Efficient Framework for Cryotherapy with Apriori based Probability Tree Classifier(APTC)", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 10, page no.40 - 44, October-2019, Available :http://www.ijsdr.org/papers/IJSDR1910008.pdf
Downloads:
000337070
Publication Details:
Published Paper ID: IJSDR1910008
Registration ID:191037
Published In: Volume 4 Issue 10, October-2019
DOI (Digital Object Identifier):
Page No: 40 - 44
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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