Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yong-jian Nian"'
Autor:
Qiu Qiu, Yong-jian Nian, Yan Guo, Liang Tang, Nan Lu, Liang-zhi Wen, Bin Wang, Dong-feng Chen, Kai-jun Liu
Publikováno v:
BMC Gastroenterology, Vol 19, Iss 1, Pp 1-9 (2019)
Abstract Background Multiple organ failure (MOF) is a serious complication of moderately severe (MASP) and severe acute pancreatitis (SAP). This study aimed to develop and assess three machine-learning models to predict MOF. Methods Patients with MSA
Externí odkaz:
https://doaj.org/article/4301e325d9b2446aa1a527851da89db1
Autor:
Yan Guo, Liang Tang, Yong Jian Nian, Dongfeng Chen, Liang Zhi Wen, Kai Jun Liu, Qiu Qiu, Bin Wang
Publikováno v:
Journal of Digestive Diseases. 20:486-494
OBJECTIVE The aim of this study was to evaluate the efficacy of artificial neural networks (ANN) in predicting intra-abdominal infection in moderately severe (MASP) and severe acute pancreatitis (SAP) compared with that of a logistic regression model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d50293d0b09eeceb1d85bb80da303149
https://doi.org/10.1111/1751-2980.12796
https://doi.org/10.1111/1751-2980.12796
Autor:
Kaijun Liu, Qiu Qiu, Bin Wang, Nan Lu, Dongfeng Chen, Yong-jian Nian, Yan Guo, Liangzhi Wen, Liang Tang
Publikováno v:
BMC Gastroenterology, Vol 19, Iss 1, Pp 1-9 (2019)
BMC Gastroenterology
BMC Gastroenterology
Background Multiple organ failure (MOF) is a serious complication of moderately severe (MASP) and severe acute pancreatitis (SAP). This study aimed to develop and assess three machine-learning models to predict MOF. Methods Patients with MSAP and SAP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eead754d97b68bd57bf2390f52cc3925
http://link.springer.com/article/10.1186/s12876-019-1016-y
http://link.springer.com/article/10.1186/s12876-019-1016-y
Publikováno v:
Guang pu xue yu guang pu fen xi = Guang pu. 31(5)
The present paper proposes a novel hyperspectral image classification algorithm based on LS-SVM (least squares support vector machine). The LS-SVM uses the features extracted from subspace of bands (SOB). The maximum noise fraction (MNF) method is ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::eb66c87e231dbb13e6fbe778a40555b3
https://pubmed.ncbi.nlm.nih.gov/21800590
https://pubmed.ncbi.nlm.nih.gov/21800590