Assessment of primary behavioral aspects towards early detection of cervical cancer assisted by neural networks

B. Jothi; Charles Ignacio Mendoza Mollocondo; Ronald M. Hernandez; Anoop Beri; Maruthi Rohit Ayyagari; Aziz Unnisa

doi:10.1063/5.0126143

Assessment of primary behavioral aspects towards early detection of cervical cancer assisted by neural networks

B. Jothi
, Charles Ignacio Mendoza Mollocondo
, Ronald M. Hernandez
, Anoop Beri
, Maruthi Rohit Ayyagari
, Aziz Unnisa

Research output: Chapter in Book/Report › Conference contribution › peer-review

Abstract

The incidence of cervical cancer in recent years is emerging due to the presence of various bacteria. Hence we have tried to identify the primary lifestyle factors leading to its cause. Therefore it is necessary to develop a user interface model for the physicians to make automated prognostic decisions depending on the questionnaire based variables. This prognosis may assist on the diagnostic decision. Hence, in this work we estimated the error performance of SVM classification algorithms in the available dataset that describes physiological variable of healthy and cervical cancer. The Support Vector Machines (SVM) exhibited an accuracy of 100% with certain error %. These results highlighted the dependency of automated decision making and can be used in clinical setup after the establishment of user interface.

Original language	American English
Title of host publication	International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735444430
DOIs	https://doi.org/10.1063/5.0126143
State	Indexed - 25 Apr 2023
Externally published	Yes
Event	2022 International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022 - Chennai, India Duration: 21 Mar 2022 → 25 Mar 2022

Publication series

Name	AIP Conference Proceedings
Volume	2603
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	2022 International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022
Country/Territory	India
City	Chennai
Period	21/03/22 → 25/03/22

Bibliographical note

Publisher Copyright:
© 2023 Author(s).

Keywords

Cervical cancer
Prognosis
UCI dataset
Weka data mining tool

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1063/5.0126143

Cite this

Jothi, B., Mollocondo, C. I. M., Hernandez, R. M., Beri, A., Ayyagari, M. R., & Unnisa, A. (2023). Assessment of primary behavioral aspects towards early detection of cervical cancer assisted by neural networks. In International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022 Article 020006 (AIP Conference Proceedings; Vol. 2603). American Institute of Physics Inc.. https://doi.org/10.1063/5.0126143

@inproceedings{8013eaab3f774d2daefa570fec0f28c6,

title = "Assessment of primary behavioral aspects towards early detection of cervical cancer assisted by neural networks",

abstract = "The incidence of cervical cancer in recent years is emerging due to the presence of various bacteria. Hence we have tried to identify the primary lifestyle factors leading to its cause. Therefore it is necessary to develop a user interface model for the physicians to make automated prognostic decisions depending on the questionnaire based variables. This prognosis may assist on the diagnostic decision. Hence, in this work we estimated the error performance of SVM classification algorithms in the available dataset that describes physiological variable of healthy and cervical cancer. The Support Vector Machines (SVM) exhibited an accuracy of 100\% with certain error \%. These results highlighted the dependency of automated decision making and can be used in clinical setup after the establishment of user interface.",

keywords = "Cervical cancer, Prognosis, UCI dataset, Weka data mining tool",

author = "B. Jothi and Mollocondo, \{Charles Ignacio Mendoza\} and Hernandez, \{Ronald M.\} and Anoop Beri and Ayyagari, \{Maruthi Rohit\} and Aziz Unnisa",

note = "Publisher Copyright: {\textcopyright} 2023 Author(s).; 2022 International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022 ; Conference date: 21-03-2022 Through 25-03-2022",

year = "2023",

month = apr,

day = "25",

doi = "10.1063/5.0126143",

language = "American English",

series = "AIP Conference Proceedings",

publisher = "American Institute of Physics Inc.",

booktitle = "International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022",

}

Jothi, B, Mollocondo, CIM, Hernandez, RM, Beri, A, Ayyagari, MR & Unnisa, A 2023, Assessment of primary behavioral aspects towards early detection of cervical cancer assisted by neural networks. in International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022., 020006, AIP Conference Proceedings, vol. 2603, American Institute of Physics Inc., 2022 International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022, Chennai, India, 21/03/22. https://doi.org/10.1063/5.0126143

Assessment of primary behavioral aspects towards early detection of cervical cancer assisted by neural networks. / Jothi, B.; Mollocondo, Charles Ignacio Mendoza; Hernandez, Ronald M. et al.
International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022. American Institute of Physics Inc., 2023. 020006 (AIP Conference Proceedings; Vol. 2603).

Research output: Chapter in Book/Report › Conference contribution › peer-review

TY - GEN

T1 - Assessment of primary behavioral aspects towards early detection of cervical cancer assisted by neural networks

AU - Jothi, B.

AU - Mollocondo, Charles Ignacio Mendoza

AU - Hernandez, Ronald M.

AU - Beri, Anoop

AU - Ayyagari, Maruthi Rohit

AU - Unnisa, Aziz

PY - 2023/4/25

Y1 - 2023/4/25

N2 - The incidence of cervical cancer in recent years is emerging due to the presence of various bacteria. Hence we have tried to identify the primary lifestyle factors leading to its cause. Therefore it is necessary to develop a user interface model for the physicians to make automated prognostic decisions depending on the questionnaire based variables. This prognosis may assist on the diagnostic decision. Hence, in this work we estimated the error performance of SVM classification algorithms in the available dataset that describes physiological variable of healthy and cervical cancer. The Support Vector Machines (SVM) exhibited an accuracy of 100% with certain error %. These results highlighted the dependency of automated decision making and can be used in clinical setup after the establishment of user interface.

AB - The incidence of cervical cancer in recent years is emerging due to the presence of various bacteria. Hence we have tried to identify the primary lifestyle factors leading to its cause. Therefore it is necessary to develop a user interface model for the physicians to make automated prognostic decisions depending on the questionnaire based variables. This prognosis may assist on the diagnostic decision. Hence, in this work we estimated the error performance of SVM classification algorithms in the available dataset that describes physiological variable of healthy and cervical cancer. The Support Vector Machines (SVM) exhibited an accuracy of 100% with certain error %. These results highlighted the dependency of automated decision making and can be used in clinical setup after the establishment of user interface.

KW - Cervical cancer

KW - Prognosis

KW - UCI dataset

KW - Weka data mining tool

UR - https://www.scopus.com/pages/publications/85159936400

U2 - 10.1063/5.0126143

DO - 10.1063/5.0126143

M3 - Conference contribution

AN - SCOPUS:85159936400

T3 - AIP Conference Proceedings

BT - International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022

PB - American Institute of Physics Inc.

T2 - 2022 International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022

Y2 - 21 March 2022 through 25 March 2022

ER -

Jothi B, Mollocondo CIM, Hernandez RM, Beri A, Ayyagari MR, Unnisa A. Assessment of primary behavioral aspects towards early detection of cervical cancer assisted by neural networks. In International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022. American Institute of Physics Inc. 2023. 020006. (AIP Conference Proceedings). doi: 10.1063/5.0126143

Assessment of primary behavioral aspects towards early detection of cervical cancer assisted by neural networks

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this