Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tianbao Liao"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract This study aimed to construct and assess a machine-learning algorithm designed to forecast survival rates and risk stratification for patients with gastric neuroendocrine neoplasms (gNENs) after diagnosis. Data on patients with gNENs were ex
Externí odkaz:
https://doaj.org/article/fa5670d42a88432b91ac95a2dc8dc24d
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e39494- (2024)
Objective: The objective of this study is to develop and validate an effective prognostic nomogram for predicting the short-term survival rate of patients with acute heart failure (AHF) complicated by acute kidney injury (AKI) who are admitted to the
Externí odkaz:
https://doaj.org/article/86e33d83b9cd4008aee204ef721f2f92
Publikováno v:
BMC Nephrology, Vol 22, Iss 1, Pp 1-11 (2021)
Abstract Background Acute kidney injury (AKI) is a prevalent and severe complication of sepsis contributing to high morbidity and mortality among critically ill patients. In this retrospective study, we develop a novel risk-predicted nomogram of seps
Externí odkaz:
https://doaj.org/article/83ebd5a504be45059f2bfbc24ccb2e02
Publikováno v:
Scandinavian Journal of Gastroenterology. 57:581-588
The increase in the incidence of gastroenteropancreatic neuroendocrine tumors (GEP-NENs) and refined morphological imaging techniques have led to a rise in the number of patients undergoing surgery. However, there is still a paucity of objective, cli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ff95d80115c9e067dc48c6822c9a112
https://doi.org/10.1080/00365521.2021.2024247
https://doi.org/10.1080/00365521.2021.2024247