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Journal ArticleDOI

Use of secondary data to estimate instantaneous model parameters of diabetic heart disease: Lemonade Method

01 Apr 2012-Information Fusion (Elsevier)-Vol. 13, Iss: 2, pp 137-145
TL;DR: 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.
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Journal ArticleDOI
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.
Abstract: Medical image fusion is the process of registering and combining multiple images from single or multiple imaging modalities to improve the imaging quality and reduce randomness and redundancy in order to increase the clinical applicability of medical images for diagnosis and assessment of medical problems. Multi-modal medical image fusion algorithms and devices have shown notable achievements in improving clinical accuracy of decisions based on medical images. This review article provides a factual listing of methods and summarizes the broad scientific challenges faced in the field of medical image fusion. We characterize the medical image fusion research based on (1) the widely used image fusion methods, (2) imaging modalities, and (3) imaging of organs that are under study. This review concludes 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.

633 citations

Journal ArticleDOI
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.

517 citations

Journal ArticleDOI
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.
Abstract: (1963). Statistical Inference for Markov Processes. Technometrics: Vol. 5, No. 3, pp. 413-415.

369 citations

Journal ArticleDOI
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.

46 citations

References
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Journal Article
TL;DR: In this article, the effects of intensive blood-glucose control with either sulphonylurea or insulin and conventional treatment on the risk of microvascular and macrovascular complications in patients with type 2 diabetes in a randomised controlled trial were compared.

17,108 citations

Journal ArticleDOI
TL;DR: It is suggested that diabetic patients without previous myocardial infarction have as high a risk of myocardia infarctions as nondiabetic patients with previous my Cardiac Arrest.
Abstract: Background Type 2 (non-insulin-dependent) diabetes is associated with a marked increase in the risk of coronary heart disease. It has been debated whether patients with diabetes who have not had myocardial infarctions should be treated as aggressively for cardiovascular risk factors as patients who have had myocardial infarctions. Methods To address this issue, we compared the seven-year incidence of myocardial infarction (fatal and nonfatal) among 1373 nondiabetic subjects with the incidence among 1059 diabetic subjects, all from a Finnish population-based study. Results The seven-year incidence rates of myocardial infarction in nondiabetic subjects with and without prior myocardial infarction at base line were 18.8 percent and 3.5 percent, respectively (P<0.001). The seven-year incidence rates of myocardial infarction in diabetic subjects with and without prior myocardial infarction at base line were 45.0 percent and 20.2 percent, respectively (P<0.001). The hazard ratio for death from coronary heart di...

6,359 citations


"Use of secondary data to estimate i..." refers background in this paper

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Journal ArticleDOI
TL;DR: The model is diabetes-specific and incorporates glycaemia, systolic blood pressure and lipid levels as risk factors, in addition to age, sex, ethnic group, smoking status and time since diagnosis of diabetes, which provides the estimates ofCHD risk required by current guidelines for the primary prevention of CHD in Type II diabetes.
Abstract: A definitive model for predicting absolute risk of coronary heart disease (CHD) in male and female people with Type II diabetes is not yet available. This paper provides an equation for estimating the risk of new CHD events in people with Type II diabetes, based on data from 4540 U.K. Prospective Diabetes Study male and female patients. Unlike previously published risk equations, the model is diabetes-specific and incorporates glycaemia, systolic blood pressure and lipid levels as risk factors, in addition to age, sex, ethnic group, smoking status and time since diagnosis of diabetes. All variables included in the final model were statistically significant (P<0.001, except smoking for which P=0.0013) in likelihood ratio testing. This model provides the estimates of CHD risk required by current guidelines for the primary prevention of CHD in Type II diabetes.

1,188 citations

Journal ArticleDOI
TL;DR: Hospitalization for unstable angina or non–Q-wave myocardial infarction predicts a high 2-year morbidity and mortality; this is especially evident for patients with diabetes.
Abstract: Background—Although unstable coronary artery disease is the most common reason for admission to a coronary care unit, the long-term prognosis of patients with this diagnosis is unknown. This is particularly true for patients with diabetes mellitus, who are known to have a high morbidity and mortality after an acute myocardial infarction. Methods and Results—Prospectively collected data from 6 different countries in the Organization to Assess Strategies for Ischemic Syndromes (OASIS) registry were analyzed to determine the 2-year prognosis of diabetic and nondiabetic patients who were hospitalized with unstable angina or non–Q-wave myocardial infarction. Overall, 1718 of 8013 registry patients (21%) had diabetes. Diabetic patients had a higher rate of coronary bypass surgery than nondiabetic patients (23% versus 20%, P<0.001) but had similar rates of catheterization and angioplasty. Diabetes independently predicted mortality (relative risk [RR], 1.57; 95% CI, 1.38 to 1.81; P<0.001), as well as cardiovascul...

765 citations

Journal ArticleDOI
TL;DR: The high mortality rate of diabetic patients after their first myocardial infarction and the high proportion of out-of-hospital deaths in this group imply that vigorous primary and secondary preventive measures should become an integral part of their medical care.
Abstract: OBJECTIVE To study diabetic and nondiabetic patients with their first myocardial infarction to determine overall 1-year mortality, out-of-hospital mortality, 28-day mortality of hospitalized patients, and 1-year mortality of 28-day survivors. RESEARCH DESIGN AND METHODS This study—based on the FINMONICA Myocardial Infarction Register, a part of the Finnish contribution to the WHO MONICA Project (World Health Organization Multinational Monitoring of Trends and Determinants of Cardiovascular Disease)—covered coronary heart disease (CHD) deaths and acute CHD events occurring during hospitalization among residents of Finland aged 25–64 years in three geographically defined areas. The study population comprised 620 diabetic and 3,445 nondiabetic patients who had their first myocardial infarction during the years 1988–1992. RESULTS The age- and area-adjusted mortality rates and hazard ratios (HRs) for diabetic versus nondiabetic patients (95% CI) were as follows: The 1-year mortality rate was 44.2% in diabetic men and 32.6% in nondiabetic men (HR, 1.38; 1.18−1.61) and 36.9% in diabetic women and 20.2% in nondiabetic women (HR, 1.86; 1.40−2.46); the out-of-hospital mortality rate was 28.3% in diabetic men and 22.4% in nondiabetic men (HR, 1.25; 1.03−1.52) and 10.4% in diabetic women and 11.0% in nondiabetic women (HR, 0.95; 0.58−1.54); the 28-day mortality rate of hospitalized patients was 14.4% in diabetic men and 8.8% in nondiabetic men (HR, 1.58; 1.15−2.18) and 21.7% in diabetic women and 7.8% in nondiabetic women (HR, 2.60; 1.71−3.95); and the 1-year mortality rate of 28-day survivors was 9.6% in diabetic men and 5.0% in nondiabetic men (HR, 1.97; 1.25−3.12) and 10.7% in diabetic women and 2.5% in nondiabetic women (HR, 4.17; 2.05−8.51). CONCLUSIONS The high mortality rate of diabetic patients after their first myocardial infarction and the high proportion of out-of-hospital deaths in this group imply that vigorous primary and secondary preventive measures should become an integral part of their medical care.

681 citations