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Nonparametric model-based prognostics
2008 Annual Reliability and Maintainability Symposium, 2008Equipment, 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
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Prognostic models in myelodysplastic syndromes
Hematology, 2013Abstract 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 ...
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Prognostic models in myelodysplastic syndromes
The Lancet Haematology, 2015-
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Novel Prognostic Models for Myelodysplastic Syndromes
Hematology/Oncology Clinics of North America, 2020Myelodysplastic 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
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A prognostic model for head injury
Acta Neurochirurgica, 1979A 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
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Using prognostic models in clinical infertility
Human Fertility, 2000The 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
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Alcoholic Hepatitis: Prognostic Models and Treatment
Gastroenterology Clinics of North America, 2011Alcoholic hepatitis is a distinct subset of alcoholic liver disease. Inflammation and oxidative stress are the two main pathogenetic mechanisms involved in its pathogenesis. Patients with mild disease usually improve with conservative management. However, about 30-50% of those with severe disease succumb to their illness within about 1 month. Therefore,
Ashwani K, Singal, Vijay H, Shah
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Prognostic Models in Acute Liver Failure
Clinics in Liver Disease, 2018There is a strong imperative to develop valid and accurate prognostic modeling for acute liver failure (ALF). Despite the numerous clinical models that have been proposed thus far and the use of some such models, that is, King's College Criteria and Model for End-Stage Liver Disease, in clinical practice to aid decision-making, there is a significant ...
Avantika, Mishra, Vinod, Rustgi
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Prognostic models in the clinical arena
Aging Clinical and Experimental Research, 2012Making a prognosis is to predict the course of a disease and estimate the probability (or risk) of the appearance of a given outcome in relationship to clinical or non-clinical characteristics. Prognostic assessment is usually modelled by multivariable mathematic equations (prognostic models). In this article we describe what a prognostic model is, how
Bolignano Davide +7 more
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2000
Multiple regression analyses have found widespread use in melanoma research. Such methods are natural candidates for prognostic factor studies, where it is desired to examine the joint influence of various clinical, pathologic, and demographic variables on indicators of disease. For example, in a recent article, Schuchter et al.
Ranjini Natarajan, Martin A. Weinstock
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Multiple regression analyses have found widespread use in melanoma research. Such methods are natural candidates for prognostic factor studies, where it is desired to examine the joint influence of various clinical, pathologic, and demographic variables on indicators of disease. For example, in a recent article, Schuchter et al.
Ranjini Natarajan, Martin A. Weinstock
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