Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nittaya Kasemkosin"'
Autor:
Pichatorn Suppakitjanusant, Nittaya Kasemkosin, Alisa K. Sivapiromrat, Samuel Weinstein, Boonsong Ongphiphadhanakul, William R. Hunt, Viranuj Sueblinvong, Vin Tangpricha
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023)
Abstract Cystic fibrosis-related diabetes (CFRD) is associated with reduced life expectancy in adults with cystic fibrosis (CF). Voice analysis may be a convenient method for diagnosing and monitoring CFRD. This study aims to determine the relationsh
Externí odkaz:
https://doaj.org/article/0c99d791c764423cb587ac46f6ccd117
Autor:
Pichatorn Suppakitjanusant, Somnuek Sungkanuparph, Thananya Wongsinin, Sirapong Virapongsiri, Nittaya Kasemkosin, Laor Chailurkit, Boonsong Ongphiphadhanakul
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
Abstract Recently deep learning has attained a breakthrough in model accuracy for the classification of images due mainly to convolutional neural networks. In the present study, we attempted to investigate the presence of subclinical voice feature al
Externí odkaz:
https://doaj.org/article/b251be9ae3604d9d95be9d83337acd9a
Autor:
Pichatorn Suppakitjanusant, Nittaya Kasemkosin, Alisa K. Sivapiromrat, Samuel Weinstein, Boonsong Ongphiphadhanakul, William R. Hunt, Viranuj Sueblinvong, Vin Tangpricha
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/fcfe49b340d14b148b0a2a8cedc30127
Autor:
Prangorn Lomprew, Boonsong Ongphiphadhanakul, La-or Chailurkit, Sittichai Pinyopodjanard, Pichatorn Suppakitjanusant, Nittaya Kasemkosin
Publikováno v:
Journal of Voice. 35:116-121
The objective of this study was to investigate if there are differences in acoustic parameters between diabetic patients and normal controls.A prospective cross-sectional study was performed in 83 diabetic patients and 70 healthy controls. Voice para
Autor:
Nopporn Howteerakul, Kingkaew Pajareya, Nawarat Suwannapong, Mathuros Tipayamongkholgul, Nittaya Kasemkosin
Publikováno v:
International Journal of Early Childhood Special Education. :248-263
Autor:
Boonsong Ongphiphadhanakul, Pichatorn Suppakitjanusant, La-or Chailurkit, Nittaya Kasemkosin, Sirapong Virapongsiri, Thananya Wongsinin, Somnuek Sungkanuparph
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
Recently deep learning has attained a breakthrough in model accuracy for the classification of images due mainly to convolutional neural networks. In the present study, we attempted to investigate the presence of subclinical voice feature alteration
Publikováno v:
Journal of the Medical Association of Thailand = Chotmaihet thangphaet. 93(4)
An auditory-oral approach can help deaf children achieve success in oral communication. Many studies confirm that deaf children with access to sound through high-powered and appropriate hearing aids at the youngest age possible have the capability to