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Iryna Posokhova
Researcher at Kharkiv National Medical University
Publications - 5
Citations - 670
Iryna Posokhova is an academic researcher from Kharkiv National Medical University. The author has contributed to research in topics: Computer science & Disease. The author has an hindex of 3, co-authored 4 publications receiving 314 citations.
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Journal ArticleDOI
AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app
Ali Imran,Iryna Posokhova,Haneya Naeem Qureshi,Usama Masood,Muhammad Sajid Riaz,Kamran Ali,Charles N. John,Iftikhar Hussain,Muhammad Nabeel +8 more
TL;DR: In this paper, an Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that is deployable via a smartphone app is proposed, based on the prior work on cough-based diagnosis of respiratory diseases.
Journal ArticleDOI
AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App
Ali Imran,Iryna Posokhova,Haneya Naeem Qureshi,Usama Masood,Muhammad Sajid Riaz,Kamran Ali,Charles N. John,Iftikhar Hussain,Muhammad Nabeel +8 more
TL;DR: An Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that is deployable via a smartphone app is proposed, developed and test, and results show AI4CO VID-19 can distinguish among COvid-19 coughs and several types of non-COVID- 19 coughs.
Proceedings ArticleDOI
Can Machine Learning Be Used to Recognize and Diagnose Coughs
Charles Bales,Muhammad Nabeel,Charles N. John,Usama Masood,Haneya Naeem Qureshi,Hasan Farooq,Iryna Posokhova,Ali Imran +7 more
TL;DR: This paper presents a low complexity, automated recognition and diagnostic tool for screening respiratory infections that utilizes Convolutional Neural Networks to detect cough within environment audio and diagnose three potential illnesses based on their unique cough audio features.
Journal ArticleDOI
Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey
Aneeqa Ijaz,Muhammad Nabeel,Usama Masood,Tahir Mahmood,Mydah Sajid Hashmi,Iryna Posokhova,Ali Rizwan,Ali Imran +7 more
TL;DR: In this article , a comprehensive overview of the data-driven ML/DL detection and preliminary diagnosis frameworks, along with a detailed list of significant features is presented. And the authors investigate the mechanism that causes cough and the latent cough features of the respiratory modalities.
Posted Content
Can Machine Learning Be Used to Recognize and Diagnose Coughs
Charles Bales,Muhammad Nabeel,Charles N. John,Usama Masood,Haneya Naeem Qureshi,Hasan Farooq,Iryna Posokhova,Ali Imran +7 more
TL;DR: In this paper, a low complexity, automated recognition and diagnostic tool for screening respiratory infections that utilizes Convolutional Neural Networks (CNNs) to detect cough within environment audio and diagnose three potential illnesses (i.e., bronchitis, bronchiolitis and pertussis) based on their unique cough audio features.