Comparative study on the machine learning approaches for the prognosis of acute inflammations in urinary bladder

Duran Kala; Niladri Maiti; S. Dheva Rajan; Ronald M. Hernandez; Chandra Kumar Dixit; Shvets Yuriy Yurievich

doi:10.1063/5.0126214

Comparative study on the machine learning approaches for the prognosis of acute inflammations in urinary bladder

Duran Kala, Niladri Maiti, S. Dheva Rajan, Ronald M. Hernandez, Chandra Kumar Dixit, Shvets Yuriy Yurievich

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

Abstract

The incidence of urinary bladder inflammation in recent years is emerging due to the presence of various bacteria. 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 performance of 3 different classification algorithms in the available dataset that describes physiological and healthy and bladder inflammation. The algorithms such as Support Vector Machines (SVM), Logistic Regression (LR) and Naïve Bayes (NB) exhibited an accuracy of 100% with all similar performance metrics. However there is a difference in the errors metrics with NB showing higher error compared to other two classification algorithms. 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/10.1063/5.0126214
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

Prognosis
UCI dataset
Urinary bladder inflammation
Weka data mining tool

Access to Document

10.1063/5.0126214

Cite this

Kala, D., Maiti, N., Dheva Rajan, S., Hernandez, R. M., Dixit, C. K., & Yurievich, S. Y. (2023). Comparative study on the machine learning approaches for the prognosis of acute inflammations in urinary bladder. In International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022 Article 020002 (AIP Conference Proceedings; Vol. 2603). American Institute of Physics Inc.. https://doi.org/10.1063/5.0126214

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title = "Comparative study on the machine learning approaches for the prognosis of acute inflammations in urinary bladder",

abstract = "The incidence of urinary bladder inflammation in recent years is emerging due to the presence of various bacteria. 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 performance of 3 different classification algorithms in the available dataset that describes physiological and healthy and bladder inflammation. The algorithms such as Support Vector Machines (SVM), Logistic Regression (LR) and Na{\"i}ve Bayes (NB) exhibited an accuracy of 100% with all similar performance metrics. However there is a difference in the errors metrics with NB showing higher error compared to other two classification algorithms. 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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Kala, D, Maiti, N, Dheva Rajan, S, Hernandez, RM, Dixit, CK & Yurievich, SY 2023, Comparative study on the machine learning approaches for the prognosis of acute inflammations in urinary bladder. in International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022., 020002, 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/10.1063/5.0126214

Comparative study on the machine learning approaches for the prognosis of acute inflammations in urinary bladder. / Kala, Duran; Maiti, Niladri; Dheva Rajan, S. et al.
International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022. American Institute of Physics Inc., 2023. 020002 (AIP Conference Proceedings; Vol. 2603).

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

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Kala D, Maiti N, Dheva Rajan S, Hernandez RM, Dixit CK, Yurievich SY. Comparative study on the machine learning approaches for the prognosis of acute inflammations in urinary bladder. In International Conference on Biomedical Engineering and Computing Technologies, ICBECT 2022. American Institute of Physics Inc. 2023. 020002. (AIP Conference Proceedings). doi: 10.1063/5.0126214

Comparative study on the machine learning approaches for the prognosis of acute inflammations in urinary bladder

Abstract

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Conference

Bibliographical note

Keywords

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