Comprehensive cough data analysis on CODA TB

Authors

Jyoti Yadav, Montclair State UniversityFollow
Aparna S. Varde, Montclair State UniversityFollow
Lei Xie, CUNY HunterFollow

Document Type

Preprint

Publication Date

1-1-2023

Journal / Book Title

Proceedings 2023 IEEE International Conference on Big Data Bigdata 2023

Abstract

This work leverages CODA TB, a groundbreaking dataset for a novel comprehensive method of early TB detection from medical big data. Departing from the erstwhile, we find mere cough duration less effective in TB prediction. We discover key demographic and clinical factors (e.g. heart rate, presenting symptoms) to be crucial in distinguishing TB cases, motivating comprehensive cough data analysis with enhanced screening.

DOI

10.1109/BigData59044.2023.10386805

Journal ISSN / Book ISBN

85184985543 (Scopus)

Montclair State University Digital Commons Citation

Yadav, Jyoti; Varde, Aparna S.; and Xie, Lei, "Comprehensive cough data analysis on CODA TB" (2023). School of Computing Faculty Scholarship and Creative Works. 80.
https://digitalcommons.montclair.edu/computing-facpubs/80