DESIGNING A NEW DATA COLLECTION APPROACH

Isteleyev, Marat

DESIGNING A NEW DATA COLLECTION APPROACH

dc.contributor.author	Isteleyev, Marat
dc.date.accessioned	2022-02-09T02:51:31Z
dc.date.available	2022-02-09T02:51:31Z
dc.date.issued	2021-12
dc.description.abstract	Building a quick, efficient and cheap cough classification tool is a very challenging task. It requires a well-thought and rigorous approach. One of the main take-outs behind this tool would be a carefully collected dataset which can serve as a golden high-quality baseline for building an accurate machine learning model. This study intends to build a new data collection tool and analyze the collected dataset in order to be able to differentiate between various types of cough audio signals. There are very limited efforts that aimed to create a high reliability cough audio signals dataset that is quality controlled by the healthcare professionals. The current dataset contains eight types of coughs plus an additional ’other’ type. The primary goal is to design and build a new data collection approach for the Cough Analyzer application and secondly to conduct a data analysis of the collected dataset which contains 1100+ entries to date submitted by the people from around the world.	en_US
dc.identifier.citation	Isteleyev, M. (2021). Designing a New Data Collection Approach (Unpublished master's thesis). Nazarbayev University, Nur-Sultan, Kazakhstan	en_US
dc.identifier.uri	http://nur.nu.edu.kz/handle/123456789/6033
dc.language.iso	en	en_US
dc.publisher	Nazarbayev University School of Engineering and Digital Sciences	en_US
dc.rights	Attribution-NonCommercial-ShareAlike 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/us/	*
dc.subject	data collection	en_US
dc.subject	Type of access: Open Access	en_US
dc.subject	dataset	en_US
dc.subject	cough	en_US
dc.subject	cough phases	en_US
dc.subject	diagnosis	en_US
dc.title	DESIGNING A NEW DATA COLLECTION APPROACH	en_US
dc.type	Master's thesis	en_US
workflow.import.source	science