Work

Deep learning for classification of normal swallows in adults

Year: 2018

Type: article

Source: Neurocomputing

DOI: 10.1016/j.neucom.2017.12.059

Authors: Joshua M. Dudik, James L. Coyle, Amro El-Jaroudi, Zhi-Hong Mao, Mingui Sun, Ervin Sejdić

Institution: University of Pittsburgh

Language: English

Topic: Dysphagia Assessment and Management

Subfield: Speech and Hearing

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, National Center for Advancing Translational Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: The Aspirometer: A noninvasive tool to detect swallowing safety and efficiency, University of Pittsburgh Clinical and Translational Science Institute

OpenAlex ID: W2791514042

FWCI: 7.441

Cites: 47

Cited by: 42

Related to: 10