Mobile Application That Detects Covid-19 from Cough and Image Using Smartphone Recordings and Machine Learning

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dc.contributor.authorKaratas E.
dc.contributor.authorAdali B.
dc.contributor.authorAydin O.
dc.contributor.authorDalkilic G.
dc.date.accessioned2024-07-22T08:06:27Z
dc.date.available2024-07-22T08:06:27Z
dc.date.issued2021
dc.description.abstractDigital transformation has caused many changes in the field of health, as in every field. People can follow their personal health status with various devices or applications. These applications collect data from the external environment and sensors placed on their bodies. Sound, photo and video can be processed with applications that can run on mobile phones. In this way, various inferences can be made about the personal health status. In this study, we proposed a project that includes a mobile application for the pandemic. In the mobile application, audio processing and Machine Learning algorithms are used. In this way, a support system has been created for disease detection by analyzing cough, which is one of the symptoms of Covid-19. Accuracy results of various methods used in the study are shared. © 2021 IEEE.
dc.identifier.DOI-ID10.1109/ASYU52992.2021.9598961
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/13539
dc.language.isoEnglish
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectAndroid (operating system)
dc.subjectAudio acoustics
dc.subjectAudio recordings
dc.subjectAudio signal processing
dc.subjectHealth
dc.subjectLearning algorithms
dc.subjectMachine learning
dc.subjectAndroid
dc.subjectAudio processing
dc.subjectCough sounds
dc.subjectHealth status
dc.subjectMachine-learning
dc.subjectMobile applications
dc.subjectPandemic
dc.subjectPersonal health
dc.subjectSmart phones
dc.subjectVoice recording
dc.subjectMobile computing
dc.titleMobile Application That Detects Covid-19 from Cough and Image Using Smartphone Recordings and Machine Learning
dc.typeConference paper

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