Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)

Women Healthcare Mobile App-An Approach to Predict Early Stage of Cervical Cancer

Authors
R Chanukotimath Naveen, K Asha, G Keerthi Prasad, G M Manjula
Corresponding Author
K Asha
Available Online 13 September 2021.
DOI
https://doi.org/10.2991/ahis.k.210913.022How to use a DOI?
Keywords
Android Mobile App, Cervical, Decision Tree, Evaluation, Multilayer Perceptron, Naïve Bayes
Abstract

Most of the woman nowadays is ending up their life at middle age between 35-50 years, reason they are suffering from Cervical related cancer tumours. Many women are unaware of having cervical related cyst in the early stages. A survey was conducted on classifiers such as Decision Tree, Multilayer Perceptron, and Nave Bayes, with True Positive Rate, False Positive Rate, Precision, and Recall being measured, and an Android Mobile App was built to forecast the risk of having a Cervical associated cyst in its early stages. For training and testing the classifiers, we have used cervical dataset from University of California at Irvine Machine Learning Repository. Cervical Dataset consists of 858 records containing 32 attribute values and 4 diagnosis class value. For Cervical cancer prediction only 21 attributes and 1 biopsy class value is considered. The proposed Android Mobile App capable of predicting risk of a woman is affected by cervical related cyst in early stages. A normal woman can identify chances of having Cervical Cancer at finger tips with the proposed Android Mobile App.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)
Series
Atlantis Highlights in Computer Sciences
Publication Date
13 September 2021
ISBN
978-94-6239-428-5
ISSN
2589-4900
DOI
https://doi.org/10.2991/ahis.k.210913.022How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - R Chanukotimath Naveen
AU  - K Asha
AU  - G Keerthi Prasad
AU  - G M Manjula
PY  - 2021
DA  - 2021/09/13
TI  - Women Healthcare Mobile App-An Approach to Predict Early Stage of Cervical Cancer
BT  - Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)
PB  - Atlantis Press
SP  - 175
EP  - 182
SN  - 2589-4900
UR  - https://doi.org/10.2991/ahis.k.210913.022
DO  - https://doi.org/10.2991/ahis.k.210913.022
ID  - Naveen2021
ER  -