Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Chuan-Hu Sun"'
Autor:
Che-Yi Chou, Charles C. N. Wang, Hsiu-Yin Chiang, Chien-Fong Huang, Ya-Luan Hsiao, Chuan-Hu Sun, Chun-Sheng Hu, Min-Yen Wu, Sheng-Hsuan Chen, Chun-Min Chang, Yu-Ting Lin, Jie-Sian Wang, Yu-Cuyan Hong, I-Wen Ting, Hung-Chieh Yeh, Chin-Chi Kuo
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-8 (2023)
Plain language summary An enlarged heart occurs during various medical conditions and can result in early death. However, it is unclear whether this is also the case in patients with chronic kidney disease (CKD). Although the size of the heart can be
Externí odkaz:
https://doaj.org/article/c67c632a64fc4b2d8c8c47106d83a9ea
Autor:
Shih-Ni Chang, Ya-Luan Hsiao, Che-Chen Lin, Chuan-Hu Sun, Pei-Shan Chen, Min-Yen Wu, Sheng-Hsuan Chen, Hsiu-Yin Chiang, Chiung-Tzu Hsiao, Emily K. King, Chun-Min Chang, Chin-Chi Kuo
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract The fasting blood glucose (FBG) values extracted from electronic medical records (EMR) are assumed valid in existing research, which may cause diagnostic bias due to misclassification of fasting status. We proposed a machine learning (ML) al
Externí odkaz:
https://doaj.org/article/acbcd318b277475c813effc88dfc77e6
Publikováno v:
BMC Genomics, Vol 19, Iss 1, Pp 1-8 (2018)
Abstract Background Abiotic and biotic stresses severely affect the growth and reproduction of plants and crops. Determining the critical molecular mechanisms and cellular processes in response to stresses will provide biological insight for addressi
Externí odkaz:
https://doaj.org/article/231e1b59aa3f4e04b1865743be57bffd
Publikováno v:
BMC Genomics, Vol 19, Iss S1, Pp 99-104 (2018)
Abstract Background Emerging evidence has been experimentally confirmed the tissue-specific expression of circRNAs (circRNAs). Global identification of human tissue-specific circRNAs is crucial for the functionality study, which facilitates the disco
Externí odkaz:
https://doaj.org/article/57c5585b176346d88212918123baf353
Autor:
Che-Yi Chou, Charles CN Wang, Hsiu-Yin Chiang, Chien-Fong Huang, Ya-Luan Hsiao, Chuan-Hu Sun, Chun-Sheng Hu, Min-Yen Wu, Sheng-Hsuan Chen, Chun-Min Chang, Yu-Ting Lin, Jie-Sian Wang, Yu-Cuyan Hong, I-Wen Ting, Hung-Chieh Yeh, Chin-Chi Kuo
Background: The prognostic role of the cardiothoracic ratio (CTR) in chronic kidney disease (CKD) remains undetermined. Methods: We conducted a retrospective cohort study of 3117 patients with CKD aged 18 to 89 years who participated in an Advanced C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::704dc6bd980572d52c2433d38b03ad8c
Autor:
Shih-Ni Chang, Ya-Luan Hsiao, Che-Chen Lin, Chuan-Hu Sun, Pei-Shan Chen, Min-Yen Wu, Sheng-Hsuan Chen, Hsiu-Yin Chiang, Chiung-Tzu Hsiao, Emily K. King, Chun-Min Chang, Chin-Chi Kuo
Publikováno v:
Scientific reports. 12(1)
The fasting blood glucose (FBG) values extracted from electronic medical records (EMR) are assumed valid in existing research, which may cause diagnostic bias due to misclassification of fasting status. We proposed a machine learning (ML) algorithm t
Autor:
Daniel L. Chao, De Kuang Hwang, Tai Chi Lin, Chung Lan Kao, Chi Hsien Peng, Aliaksandr A. Yarmishyn, Shih Hwa Chiou, Ke Hung Chien, Ying Chun Jheng, Ching Yao Tsai, Mong Lien Wang, Chih Chien Hsu, Chuan Hu Sun, Jau Ching Wu, Kao Jung Chang, Shih Jen Chen, Lin-Chung Woung
Publikováno v:
Theranostics. 9:232-245
Artificial intelligence (AI) based on convolutional neural networks (CNNs) has a great potential to enhance medical workflow and improve health care quality. Of particular interest is practical implementation of such AI-based software as a cloud-base
Autor:
Chiung-Tzu Hsiao, Shih-Ni Chang, Chun-Min Chang, Pei-Shan Chen, Chin-Chi Kuo, Hsiu-Yin Chiang, Ya-Luan Hsiao, Chuan-Hu Sun, Che-Chen Lin
Publikováno v:
SSRN Electronic Journal.
Background: The fasting blood glucose (FBG) values extracted from electronic medical records (EMR) are typically assumed to be valid in existing research, which may cause diagnostic bias. We proposed a machine learning (ML) algorithm to predict the f
Publikováno v:
BMC Genomics
BMC Genomics, Vol 19, Iss 1, Pp 1-8 (2018)
BMC Genomics, Vol 19, Iss 1, Pp 1-8 (2018)
Background Abiotic and biotic stresses severely affect the growth and reproduction of plants and crops. Determining the critical molecular mechanisms and cellular processes in response to stresses will provide biological insight for addressing both c
Publikováno v:
The Pharmacogenomics Journal. 17:351-359
Screening for drug compounds that exhibit therapeutic properties in the treatment of various diseases remains a challenge even after considerable advancements in biomedical research. Here, we introduce an integrated platform that exploits gene expres