Detecting Childhood Pneumonia Using Handcrafted and Deep Learning Cough Sound Features and Multilayer Perceptron<sup></sup>. | Annu Int Conf IEEE Eng Med Biol Soc;2023: 1-4, 2023 07. | MEDLINE

Main content 1 Search 2 Footer 3

+A A -A High contrast

VHL Regional Portal

Information and Knowledge for Health

Subject descriptor lookup Advanced Search EVID@Easy

Detecting Childhood Pneumonia Using Handcrafted and Deep Learning Cough Sound Features and Multilayer Perceptron.

Sharan, Roneel V; Qian, Kun; Yamamoto, Yoshiharu.

Annu Int Conf IEEE Eng Med Biol Soc ; 2023: 1-4, 2023 07.

Article in En | MEDLINE | ID: mdl-38083528

Subject(s)

Deep Learning; Pneumonia; Respiration Disorders; Humans; Child; Cough/diagnosis; Neural Networks, Computer; Pneumonia/diagnosis

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pneumonia / Respiration Disorders / Deep Learning Limits: Child / Humans Language: En Journal: Annu Int Conf IEEE Eng Med Biol Soc Year: 2023 Document type: Article Country of publication: United States

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pneumonia / Respiration Disorders / Deep Learning Limits: Child / Humans Language: En Journal: Annu Int Conf IEEE Eng Med Biol Soc Year: 2023 Document type: Article Country of publication: United States