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An artificial intelligence algorithm-based smartphone application for daily cough monitoring.
Shim, Ji-Su; Kim, Min-Hye; Lee, Sang Min; Kim, Sae-Hoon; Kwon, Jae-Woo; Song, Catherine; Ahn, Kyung-Min; Kang, Sung-Yoon; Park, Han-Ki; Park, Heung-Woo; Kim, Byung-Keun; Yang, Min-Suk.
Afiliación
  • Shim JS; Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, Republic of Korea.
  • Kim MH; Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, Republic of Korea.
  • Lee SM; Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Republic of Korea.
  • Kim SH; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Kwon JW; Department of Internal Medicine, Kangwon National University School of Medicine, Chuncheon, Republic of Korea.
  • Song C; Soundable Health, Inc., California, San Francisco, USA.
  • Ahn KM; Department of Internal Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.
  • Kang SY; Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Republic of Korea.
  • Park HK; Division of Allergy and Clinical Immunology, Department of Internal Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea.
  • Park HW; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Kim BK; Division of Pulmonology, Allergy and Critical Care Medicine, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
  • Yang MS; Department of Internal Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.
Allergy ; 78(5): 1378-1380, 2023 05.
Article en En | MEDLINE | ID: mdl-36588171
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Tos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Allergy Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
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PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Tos Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Allergy Año: 2023 Tipo del documento: Article