Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Chien Wen Hsiao"'
Autor:
Chien-Wen Hsiao, Tsai-Hung Yen, Yen-Ching Wu, Jun-Peng Chen, Yun-Yu Chen, Wen-Nan Huang, Yi-Hsing Chen, Yi-Ming Chen
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
BackgroundAspergillus diseases are frequently encountered in patients who are immunocompromised. Without a prompt diagnosis, the clinical consequences may be lethal. Aspergillus-specific antibodies have been widely used to facilitate the diagnosis of
Externí odkaz:
https://doaj.org/article/408dcd03238c46cda48fa92948cca4c1
Autor:
Yi-Da Wu, Ruey-Kai Sheu, Chih-Wei Chung, Yen-Ching Wu, Chiao-Chi Ou, Chien-Wen Hsiao, Huang-Chen Chang, Ying-Chieh Huang, Yi-Ming Chen, Win-Tsung Lo, Lun-Chi Chen, Chien-Chung Huang, Tsu-Yi Hsieh, Wen-Nan Huang, Tsai-Hung Yen, Yun-Wen Chen, Chia-Yu Chen, Yi-Hsing Chen
Publikováno v:
Diagnostics, Vol 11, Iss 4, p 642 (2021)
Background: Antinuclear antibody pattern recognition is vital for autoimmune disease diagnosis but labor-intensive for manual interpretation. To develop an automated pattern recognition system, we established machine learning models based on the Inte
Externí odkaz:
https://doaj.org/article/7ffbf93dd37b4c9690001059a08b2ba8
Autor:
Chien-Wen Hsiao
Publikováno v:
International Journal of Finance. 7:24-39
Purpose: The goal of this research is to use the correlation analysis method (CAM) to find out the investors can invest with simple messages. Results: This research's empirical results indicate the following: (1) Based on our empirical results obtain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b70c76dfcccde0ffbd021e4acb23d4b
https://doi.org/10.47941/ijf.798
https://doi.org/10.47941/ijf.798
Autor:
Chien-Wen, Hsiao, Tsai-Hung, Yen, Yen-Ching, Wu, Jun-Peng, Chen, Yun-Yu, Chen, Wen-Nan, Huang, Yi-Hsing, Chen, Yi-Ming, Chen
Publikováno v:
Frontiers in microbiology. 13
We analyzed enrolled 118 healthy controls, 29 patients with invasive aspergillosis (IA), chronic pulmonary aspergillosis (CPA), and allergic bronchopulmonary aspergillosis (ABPA) and 99 with disease control, who were tested forWe found that patients
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::587b04a95e63ad2ad39c7f6cd89c06c2
https://pubmed.ncbi.nlm.nih.gov/36560943
https://pubmed.ncbi.nlm.nih.gov/36560943
Publikováno v:
Journal of Social Service Research. 47:496-505
This study aimed to examine the experiences of implementing retirement preparation programs in Taiwanese. A qualitative study approach, in which semi-structured one-to-one in-depth interviews were ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f50b4295eb7bcaa7f79342f2da6b0f95
https://doi.org/10.1080/01488376.2020.1845282
https://doi.org/10.1080/01488376.2020.1845282
Autor:
Yen Ching Wu, Wen Nan Huang, Ruey-Kai Sheu, Ying Chieh Huang, Chia Yu Chen, Chien-Chung Huang, Yi Hsing Chen, Tsu-Yi Hsieh, Tsai Hung Yen, Chien Wen Hsiao, Win Tsung Lo, Huang Chen Chang, Yun Wen Chen, Yi Da Wu, Chih Wei Chung, Lun-Chi Chen, Chiao Chi Ou, Yi-Ming Chen
Publikováno v:
Diagnostics
Volume 11
Issue 4
Diagnostics, Vol 11, Iss 642, p 642 (2021)
Volume 11
Issue 4
Diagnostics, Vol 11, Iss 642, p 642 (2021)
Background: Antinuclear antibody pattern recognition is vital for autoimmune disease diagnosis but labor-intensive for manual interpretation. To develop an automated pattern recognition system, we established machine learning models based on the Inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5e05f8ca7072976e5ce86ffcac475e6
http://europepmc.org/articles/PMC8066559
http://europepmc.org/articles/PMC8066559
Publikováno v:
Journal of Testing and Evaluation. 42:20130330
Information about financial risk almost always contains a problem of class imbalance. Class-imbalanced data refers to the asymmetric categories of data, and it is divided into a major class and a minor class. If we guide all information into the trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41a3409f9bcaf32e7b51abd6fc62788e
https://doi.org/10.1520/jte20130330
https://doi.org/10.1520/jte20130330