Use of secondary data to estimate instantaneous model parameters of diabetic heart disease: Lemonade Method
TLDR
A likelihood approach to correctly model the design of clinical studies under the conditions where 1) the theoretical model may include an instantaneous state of distinct interest to the researchers, and 2) the study design may be such that study data can not be used to estimate a single parameter in the theoreticalmodel of interest.About:
This article is published in Information Fusion.The article was published on 2012-04-01 and is currently open access. It has received 16 citations till now.read more
Citations
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Medical Image Fusion: A survey of the state of the art
TL;DR: In this article, a review article provides a factual listing of methods and summarizes the broad scientific challenges faced in the field of medical image fusion, concluding that even though there exists several open ended technological and scientific challenges, the fusion of medical images has proved to be useful for advancing the clinical reliability of using medical imaging for medical diagnostics and analysis, and is a scientific discipline that has the potential to significantly grow in the coming years.
Journal ArticleDOI
Medical image fusion: A survey of the state of the art
TL;DR: In this paper, a review article provides a factual listing of methods and summarizes the broad scientific challenges faced in the field of medical image fusion, concluding that even though there exists several open ended technological and scientific challenges, the fusion of medical images has proved to be useful for advancing the clinical reliability of using medical imaging for medical diagnostics and analysis, and is a scientific discipline that has the potential to significantly grow in the coming years.
Journal ArticleDOI
Statistical Inference for Markov Processes
TL;DR: In this article, Statistical Inference for Markov Processes (SINP) is used for statistical inference for the Markov process, and it is shown that SINP can be used to identify Markov processes.
Journal ArticleDOI
Editorial: Information fusion in the realm of medical applications - A bibliographic glimpse at its growing appeal
Journal ArticleDOI
Deriving input parameters for cost-effectiveness modeling: taxonomy of data types and approaches to their statistical synthesis.
TL;DR: A taxonomy based on possible scenarios faced by the analyst when dealing with the available evidence is developed that can help modelers identify the most appropriate methods to use when synthesizing the available data for a given model parameter.
References
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Erratum: The UKPDS risk engine: A model for the risk of coronary heart disease in type II diabetes (UKPDS 56) (Clinical Science (2001) 101 (671-679))
Journal ArticleDOI
Long-term prognosis after myocardial infarction in men with diabetes.
Göran Ulvenstam,Anders Åberg,Robert Bergstrand,Saga Johansson,Kjell Pennert,Anders Vedin,Lars Wilhelmsen,Claes Wilhelmsson +7 more
TL;DR: A history of diabetes was an independent secondary risk factor among male survivors of a first Ml with respect to deaths and reinfarctions and remained even after allowance for age and estimated secondary risk in a multivariate regression analysis.
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Development and validation of the Economic Assessment of Glycemic Control and Long-Term Effects of diabetes (EAGLE) model.
E Mueller,Stefanie Maxion-Bergemann,Dmitry Gultyaev,Stefan Walzer,Nick Freemantle,Chantal Mathieu,Bjorn Bolinder,Robert A. Gerber,Marion Kvasz,Rito Bergemann +9 more
TL;DR: The EAGLE model is an evidence-based, internally valid tool for the assessment of the long-term effects of diabetes treatment and related costs.
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Simulation modeling of outcomes and cost effectiveness
TL;DR: The purpose of this article is to clarify the process of modeling, so that readers of models are more knowledgeable about their uses, strengths, and limitations.
Journal ArticleDOI
Chronic disease modeling and simulation software
TL;DR: A new computer tool designed for chronic disease modeling is described and the modeling capabilities of this tool were used to model the Michigan model for diabetes.