Results 301 to 310 of about 866,858 (352)

Image 4_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif

Yiqu Wei (22011386), Wanqing Xu (602358), Shuo Yang (209399), Congfeng Zhang (22011389), Jia Wang (51945), Xianyao Wan (11117554)   +5 more
openalex   +1 more source

Prognostic Model for Terminally Ill Cancer Patients on Laboratory Data

, 2002
Kenji Hira, Noriaki Aoki, Akitoshi Hayashi, Janez Demšar, Blaž Zupan, Kim Dunn, William J. Schull, Tsuguya Fukui   +7 more
openalex   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Prognostic modeling in biliary diseases

Current Opinion in Gastroenterology, 2023
Purpose of review To discuss the prognostic models for the cholestatic diseases focusing on primary sclerosing cholangitis and primary biliary cholangitis. Recent findings Noninvasive prognostic models that outperform alkaline phosphatase and Mayo Risk Score have been developed to ...
Camelia, Ciobanu, Mark W, Russo
openaire   +2 more sources

Prognostic models – Their use and abuse

Best Practice & Research Clinical Gastroenterology, 2023
NA
Neuberger, James, Fuccio, Lorenzo
openaire   +2 more sources

Caution when using prognostic models: A prospective comparison of 3 recent prognostic models

Journal of Critical Care, 2012
Prognostic models have been developed to estimate mortality and to compare outcomes in different intensive care units. However, these models need to be validated before their use in different populations. In this study, we assessed the performance of 3 recently developed general prognostic models (Acute Physiologic and Chronic Health Evaluation [APACHE]
Antonio Paulo, Nassar, Amilcar Oshiro, Mocelin, André Luiz Baptiston, Nunes, Fabio Poianas, Giannini, Leonardo, Brauer, Fabio Moreira, Andrade, Carlos Augusto, Dias   +6 more
openaire   +2 more sources

A hybrid prognostic model applied to SOFC prognostics

International Journal of Hydrogen Energy, 2017
Abstract Poor durability is one of the major hurdles for Solid Oxide Fuel Cell (SOFC) commercialization. Prognostic technology is an important approach to improve system durability. However, the current prognostic methods for fuel cells are mainly applied to proton exchange membrane fuel cell (PEMFC) systems, moreover, there are still shortages of ...
Xiaojuan Wu, Qianwen Ye, Junhao Wang
openaire   +1 more source

Prognostic model research

2019
Prognostic models combine multiple prognostic factors to estimate the risk of future outcomes in individuals with a particular disease or health condition. A useful model provides accurate predictions to support decision making by individuals and caregivers.
Richard D Riley, Karel GM Moons, Thomas PA Debray, Kym IE Snell, Ewout W Steyerberg, Douglas G Altman, Gary S Collins   +6 more
openaire   +1 more source