The Machine Learned Stethoscope Provides Accurate Operator Independent Diagnosis of Chest Disease

INTRODUCTION: Contemporary stethoscope has limitations in diagnosis of chest conditions, necessitating further imaging modalities. METHODS: We created 2 diagnostic computer aided non-invasive machine-learning models to recognize chest sounds. Model A was interpreter independent based on hidden marko...

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Detalles Bibliográficos
Autores principales: Kotb, Magd Ahmed, Elmahdy, Hesham Nabih, Seif El Dein, Hadeel Mohamed, Mostafa, Fatma Zahraa, Refaey, Mohammed Ahmed, Rjoob, Khaled Waleed Younis, Draz, Iman H, Basanti, Christine William Shaker
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986244/
https://www.ncbi.nlm.nih.gov/pubmed/32158281
http://dx.doi.org/10.2147/MDER.S221029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986244/
https://www.ncbi.nlm.nih.gov/pubmed/32158281
http://dx.doi.org/10.2147/MDER.S221029

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