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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   +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   +6 more
openaire   +1 more source

Nonparametric model-based prognostics

2008 Annual Reliability and Maintainability Symposium, 2008
Equipment, process, and system prognostic techniques can be classified as belonging to one of three major classes of methods: 1) conventional reliability-based using failure times (Weibull), 2) population based with environmental considerations (e.g. proportional hazards modeling), and 3) individual based (e.g. general path model).
J. Wesley Hines, Dustin R. Garvey
openaire   +1 more source

Prognostic models in myelodysplastic syndromes

Hematology, 2013
Abstract Establishing the prognosis for patients with myelodysplastic syndromes (MDS) is a key element of their care. It helps patients understand the severity of their disease and set expectations for their future. For physicians, an accurate estimate of prognosis drives decisions about the timing and choice of therapeutic options to ...
openaire   +2 more sources

Novel Prognostic Models for Myelodysplastic Syndromes

Hematology/Oncology Clinics of North America, 2020
Myelodysplastic syndromes are disorders of clonal myelopoiesis having a range of clinical manifestations, from benign and indolent to aggressive with very poor prognosis. Classifying the likely trajectory of disease within a patient largely guides therapeutic decision making and therefore survival.
Jacob, Shreve, Aziz, Nazha
openaire   +2 more sources

A prognostic model for head injury

Acta Neurochirurgica, 1979
A prognostic model for head injured patients was developed. Patients fall into one of four prognostic categories at the end of the first hospital day: I. Discharge alive on or before the seventh hospital day. II. Discharge alive 8--42 days after admission. III. Discharge alive after 42 days, or dead after five years. IV.
W A, Stewart, S P, Litten, P R, Sheehe
openaire   +2 more sources

Using prognostic models in clinical infertility

Human Fertility, 2000
The chance that a couple who have tried to conceive for 12 months will succeed without assisted conception treatment is still higher than the chance that the same couple will benefit from treatment. In this context, it is important to assess the chance that a treatment-independent or 'spontaneous' pregnancy will occur in a couple whose wish for a child
Mol, Ben W. J.   +2 more
openaire   +5 more sources

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