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

Producción científica: Libro o Capítulo del libro › Contribución a la conferencia › revisión exhaustiva

Resumen

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.

Idioma original	Inglés estadounidense
Título de la publicación alojada	International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022
Editorial	American Institute of Physics Inc.
ISBN (versión digital)	9780735444430
DOI	https://doi.org/10.1063/5.0126143
Estado	Indizado - 25 abr. 2023
Publicado de forma externa	Sí
Evento	2022 International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022 - Chennai, India Duración: 21 mar. 2022 → 25 mar. 2022

Serie de la publicación

Nombre	AIP Conference Proceedings
Volumen	2603
ISSN (versión impresa)	0094-243X
ISSN (versión digital)	1551-7616

Conferencia

Conferencia	2022 International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022
País/Territorio	India
Ciudad	Chennai
Período	21/03/22 → 25/03/22

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© 2023 Author(s).

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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. En International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022 Artículo 020006 (AIP Conference Proceedings; Vol. 2603). American Institute of Physics Inc.. https://doi.org/10.1063/5.0126143

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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",

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month = apr,

day = "25",

doi = "10.1063/5.0126143",

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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. En 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).

Producción científica: Libro o Capítulo del libro › Contribución a la conferencia › revisión exhaustiva

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.

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KW - Prognosis

KW - UCI dataset

KW - Weka data mining tool

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M3 - Conference contribution

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T3 - AIP Conference Proceedings

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

PB - American Institute of Physics Inc.

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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. En 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

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