Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN.
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%0 Journal Article
%1 journals/hisas/LellaSA24
%A Lella, Kranthi Kumar
%A S., Jagadeesh M.
%A Alphonse, P. J. A.
%D 2024
%J Health Inf. Sci. Syst.
%K dblp
%N 1
%P 22
%T Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN.
%U http://dblp.uni-trier.de/db/journals/hisas/hisas12.html#LellaSA24
%V 12
@article{journals/hisas/LellaSA24,
added-at = {2024-04-01T00:00:00.000+0200},
author = {Lella, Kranthi Kumar and S., Jagadeesh M. and Alphonse, P. J. A.},
biburl = {https://www.bibsonomy.org/bibtex/2a2834240941ed0fd9b68168f38b4b69a/dblp},
ee = {https://doi.org/10.1007/s13755-024-00283-w},
interhash = {52926edcfc11d96c7016cedcfa88211c},
intrahash = {a2834240941ed0fd9b68168f38b4b69a},
journal = {Health Inf. Sci. Syst.},
keywords = {dblp},
month = {December},
number = 1,
pages = 22,
timestamp = {2024-04-09T02:39:26.000+0200},
title = {Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN.},
url = {http://dblp.uni-trier.de/db/journals/hisas/hisas12.html#LellaSA24},
volume = 12,
year = 2024
}
