Analysing Breathing Patterns for Respiratory Disease Detection Using Big Data

Vedika Bodekar; Abhijit Banubakode

Analysing Breathing Patterns for Respiratory Disease Detection Using Big Data

June 2024

Vol-10, Issue-3

Paper ID: 24311

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Big Data Breathing patterns Respiratory diseases Data analysis Computational techniques Diagnosis Healthcare outcomes.

Abstract

This study explores a pioneering method using big data analysis to define unique breathing patterns that can assist in identifying respiratory diseases. By collecting and analysing extensive datasets of breathing data from diverse populations, the research aims to uncover distinctive "breathing signatures" associated with various respiratory conditions. The methodology involves employing advanced computational techniques to process large volumes of breathing data and identify patterns or deviations that correlate with specific respiratory diseases. The primary goal is to establish a dependable framework for early detection and diagnosis of respiratory diseases based on an individual's breathing profile. This approach could significantly improve healthcare outcomes by enabling timely interventions and personalised treatment strategies tailored to each patient's specific condition.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Vedika Bodekar	MET Institute of Computer Science
2	Abhijit Banubakode	MET Institute of Computer Science

How to Cite

Use the following formats to cite this article in your research.

APA Style

Bodekar, Vedika & Banubakode, Abhijit (2024). Analysing Breathing Patterns for Respiratory Disease Detection Using Big Data. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 5525-5531.

MLA Style

Bodekar, Vedika, and Abhijit Banubakode. "Analysing Breathing Patterns for Respiratory Disease Detection Using Big Data." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 5525-5531.

IEEE Style

Vedika Bodekar and Abhijit Banubakode, "Analysing Breathing Patterns for Respiratory Disease Detection Using Big Data," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 5525-5531, 2024.

Vancouver Style

Bodekar Vedika, Banubakode Abhijit. Analysing Breathing Patterns for Respiratory Disease Detection Using Big Data. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):5525-5531.

Harvard Style

Bodekar, Vedika & Banubakode, Abhijit (2024) 'Analysing Breathing Patterns for Respiratory Disease Detection Using Big Data', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 5525-5531.

Chicago Style

Bodekar, Vedika and Abhijit Banubakode. "Analysing Breathing Patterns for Respiratory Disease Detection Using Big Data." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 5525-5531.

Turabian Style

Bodekar, Vedika and Abhijit Banubakode. "Analysing Breathing Patterns for Respiratory Disease Detection Using Big Data." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 5525-5531.