Zobrazeno 1 - 8
of 8
pro vyhledávání: '"D. William R. Marsh"'
Publikováno v:
Studies in health technology and informatics. 270
Predicting a patient's hospital length of stay (LoS) can help manage staffing. In this paper, we explore LoS prediction for a large group of patients admitted non-electively. We use information available at admission, including demographics, acute an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::5ab574e662be8818767b607878398b47
https://pubmed.ncbi.nlm.nih.gov/32570410
https://pubmed.ncbi.nlm.nih.gov/32570410
Autor:
Haoyuan Zhang, D. William R. Marsh
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 232:505-523
To maximise asset reliability cost-effectively, maintenance should be scheduled based on the likely deterioration of an asset. Various statistical models have been proposed for predicting this, but they have important practical limitations. We presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e22f2305f31f4b5f05899bcfb7ea541
https://doi.org/10.1177/1748006x17742765
https://doi.org/10.1177/1748006x17742765
Autor:
D. William R. Marsh, Todd E. Rasmussen, Nigel Tai, Barbaros Yet, Zane B Perkins, Simon Glasgow
Publikováno v:
Journal of Trauma and Acute Care Surgery. 85:S104-S111
Objective To describe the long-term outcomes of military lower-extremity vascular injuries, and the decision making of surgeons treating these injuries. Background Lower-extremity vascular trauma is an important cause of preventable death and severe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4694a71b8937c576625afbf7dc48fd8
https://doi.org/10.1097/ta.0000000000001956
https://doi.org/10.1097/ta.0000000000001956
Autor:
Mariana R. Neves, D. William R. Marsh
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783030216412
AIME
AIME
Many AI (or ML) systems have been proposed for clinical decision support. Clinical usefulness is assessed in an ‘Impact Study’, a form of trial of a completed system. In development, in contrast, the focus is on AI accuracy measures, such as the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcdc8bfc013f0ba50388aea365a549a6
https://doi.org/10.1007/978-3-030-21642-9_37
https://doi.org/10.1007/978-3-030-21642-9_37
Autor:
D. William R. Marsh, Haoyuan Zhang
Publikováno v:
Reliability Engineering & System Safety. 207:107328
Models of maintenance problems must handle complex assumptions, allowing, for example, the condition of some assets to be rated directly using multiple states while in others the condition rating is inferred from that of the components from which the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c966b9c17b4dba563b3074e6d79be290
https://doi.org/10.1016/j.ress.2020.107328
https://doi.org/10.1016/j.ress.2020.107328
Publikováno v:
Knowledge and Information Systems. 50:117-143
There is poor uptake of prognostic decision support models by clinicians regardless of their accuracy. There is evidence that this results from doubts about the basis of the model as the evidence behind clinical models is often not clear to anyone ot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::437286712e18287e703793677c2c3de1
https://doi.org/10.1007/s10115-016-0932-1
https://doi.org/10.1007/s10115-016-0932-1
Publikováno v:
Journal of Biomedical Informatics. 52:373-385
Display Omitted We focus on complex clinical problems where data is available in small amounts.Our methodology compensates for the lack of data by using published evidence.It combines multivariate data with univariate meta-analysis to build BN models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ba83d7157357cc1227fd93445fdd18a
Autor:
Barbaros Yet, D. William R. Marsh
Publikováno v:
Knowledge-Based Systems. 62:84-97
The graphical structure of a Bayesian network (BN) makes it a technology well-suited for developing decision support models from a combination of domain knowledge and data. The domain knowledge of experts is used to determine the graphical structure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1d7328c6ef0ad47d43d49a75b6ece17
https://doi.org/10.1016/j.knosys.2014.02.020
https://doi.org/10.1016/j.knosys.2014.02.020