Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ming-Hua Hung"'
Autor:
Hsiu-Hsien Chen, Po-Yen Lin, Ching-Kai Lin, Le-Yin Hsu, Ming-Hua Hung, Ping-Yi Lin, Lin-Yang Chi
Publikováno v:
Journal of Dental Sciences, Vol 18, Iss 2, Pp 761-766 (2023)
Background/purpose: Patients with disabilities usually have difficulties in communication and mobility, and the quality of the dental treatments are often inferior. This study uses the Taiwan National Health Insurance Database to analyze the quality
Externí odkaz:
https://doaj.org/article/b36a46ba78a24b289f5c7a6f6a4fb1a3
Factors associated with oral health status of institution residents with disability aged 40 and over
Autor:
Ming-Hua Hung, 洪明華
106
Research Background: The Ministry of the Interior’s statistic data estimated that the total population of Taiwan was 23,539,816, and the disabled population was 1,170,199, which was 4.97% of the total population as of 2016. While focusing
Research Background: The Ministry of the Interior’s statistic data estimated that the total population of Taiwan was 23,539,816, and the disabled population was 1,170,199, which was 4.97% of the total population as of 2016. While focusing
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/t9bnb3
Autor:
Ming-hua Hung, 洪敏華
103
Bioinformatics is going to be used as a scientific method to discuss the information we received from the hospital. The main focus would be on the prediction of some major diseases, like heart attack and high blood pressure, for they are the
Bioinformatics is going to be used as a scientific method to discuss the information we received from the hospital. The main focus would be on the prediction of some major diseases, like heart attack and high blood pressure, for they are the
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/56162691491311827709
Publikováno v:
Biomedical Optics 2016.
To non-invasively detect early epithelial cancers with DRS, we used a two-layered Monte Carlo method to quantify healthy oral mucosa. Results showed that our method is feasible to extract optical properties in vivo.