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A case study to identify lung disorders among COVID-19 patients using machine learning models
Principal Researchers: Dr.Malik Mohamed Umar, Dr.Milon Selvam Dennison On-Going
Duration:
Jan 2021
Research Objectives:
The purpose of this study is explicit the breathing patterns of COVID-19 infected people and normal people with the openly available ultrasound videos by applying Non-Rigid Bodies (NRB) algorithm along with six different supervised machine learning classification models.
Nature of Research output:
Research article
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