Cough Sounds in Screening and Diagnostics: A Scoping Review.

Hegde, Siddhi; Sreeram, Shreya; Alter, Isaac L; Shor, Chaya; Valdez, Tulio A; Meister, Kara D; Rameau, Anaïs

Hegde, Siddhi; Sreeram, Shreya; Alter, Isaac L; Shor, Chaya; Valdez, Tulio A; Meister, Kara D; Rameau, Anaïs.

Afiliación

Hegde S; KVG Medical College and Hospital, Sullia, India.
Sreeram S; KVG Medical College and Hospital, Sullia, India.
Alter IL; Columbia University Vagelos College of Physicians and Surgeons, New York City, New York, U.S.A.
Shor C; Weill Cornell Medicine, Sean Parker Institute for the Voice, New York City, New York, U.S.A.
Valdez TA; Division of Pediatric Otolaryngology, Otolaryngology-Head & Neck Surgery, Stanford University, Stanford, California, U.S.A.
Meister KD; Division of Pediatric Otolaryngology, Otolaryngology-Head & Neck Surgery, Stanford University, Stanford, California, U.S.A.
Rameau A; Weill Cornell Medicine, Sean Parker Institute for the Voice, New York City, New York, U.S.A.

Laryngoscope ; 134(3): 1023-1031, 2024 Mar.

Article en En | MEDLINE | ID: mdl-37672667

Asunto(s)

Asma; COVID-19; Adulto; Animales; Humanos; Niño; Sonido; Acústica; Tos/diagnóstico

Palabras clave

acoustics; cough; machine learning

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Asma / COVID-19 Tipo de estudio: Diagnostic_studies / Guideline / Screening_studies / Systematic_reviews Límite: Adult / Animals / Child / Humans Idioma: En Revista: Laryngoscope Asunto de la revista: OTORRINOLARINGOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: India

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