000 01459 a2200361 4500
005 20250517144220.0
264 0 _c20170721
008 201707s 0 0 eng d
022 _a2694-0604
024 7 _a10.1109/EMBC.2016.7590823
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aChamberlain, Daniel
245 0 0 _aApplication of semi-supervised deep learning to lung sound analysis.
_h[electronic resource]
260 _bAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
_cAug 2016
300 _a804-807 p.
_bdigital
500 _aPublication Type: Journal Article
650 0 4 _aAlgorithms
650 0 4 _aAuscultation
650 0 4 _aDatabases, Factual
650 0 4 _aHumans
650 0 4 _aLung
650 0 4 _aLung Diseases
_xdiagnosis
650 0 4 _aMachine Learning
650 0 4 _aModels, Theoretical
650 0 4 _aNeural Networks, Computer
650 0 4 _aRespiratory Sounds
700 1 _aKodgule, Rahul
700 1 _aGanelin, Daniela
700 1 _aMiglani, Vivek
700 1 _aFletcher, Richard Ribon
773 0 _tAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
_gvol. 2016
_gp. 804-807
856 4 0 _uhttps://doi.org/10.1109/EMBC.2016.7590823
_zAvailable from publisher's website
999 _c26998872
_d26998872