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This paper demonstrates the use of Design of Experiments (DoE) coupled with simulation to design a robust and cost-effective intervention in a systematic way. DoE provides a simple and intuitive method to find the optimum settings of the input factors for the most cost-effective intervention. Moreover, DoE addresses the critique that health care simulations unrealistically assume ideal conditions...
Liver biopsy is considered as mandatory for the management of patients infected with the hepatitis C virus (HCV), particularly for staging of fibrosis degree. However, due to its invasive nature and limitations of sampling error, the tendency is to substitute the liver biopsy with non-invasive method. The objective of this study is to combine the serum biomarkers and histopathological findings to...
Various nanoparticles have recently been developed for diagnostic and therapeutic use owing to the advance of nanotechnology. Nanoparticles decorated with monoclonal antibodies which showed selective binding to the intercellular cell adhesion molecule (ICAM) on the substrate were modeled. We utilized a transport-reaction model to analyze the binding characteristics of nanoparticles. Binding rate was...
This research is on presenting a new approach for cardiac arrhythmia disease classification. The proposed method uses Modular neural network (MNN) model to classify arrhythmia into normal and abnormal classes. We have performed experiments on UCI Arrhythmia data set. Missing attribute values of this data set are replaced by closest column value of the concern class. We have constructed neural network...
Environment, customs and health status in northwest minority areas have been studied. We found the critical factors to prevent cerebral infraction. First rough sets theory had been used to reduce the attributes, secondly association rules had been used, finally logistic regression model had been used. The model solved the shortcomings of too many rules that caused by attribute redundancy and reliability...
Technological advancement over the past decade has enabled the use of smart capsules (electronic digestible pills) in biomedical applications. These systems help in the treatment and diagnosis of various diseases (GI tract diseases). This paper presents ingestible capsule antenna designs for smart pill systems suitable for medical monitoring and diagnostic applications in the exciting field of bio-telemetry...
BACKGROUD: Since Mexico reported the first case of Influenza A H1N1 influenza patients in March 2009, Influenza A H1N1 flu spreads rapidly around the world and threats seriously to human health. OBJECTVIES: (1) Establishing an Agent-based Model (ABM) of H1N1 transmission, simulating and predicting the distribution of location, extent and development of the law of H1N1 to explore the space-time propagation...
Summary form only given. Increasing prevalence of lifestyle-related health risks and chronic diseases, coupled with limited resources in the healthcare system, calls for citizen-centric health promotion and disease prevention measures as well as new care models for management of chronic diseases. As a future scenario emphasis of the health care should gradually shift from treating and managing of...
This work focuses on the development of models to support the assessment of a patient's global cardiovascular condition. Three types of models, based on different types of information, have been developed: long term cardiovascular risk models, that evaluate the risk of occurring of cardiovascular event within a long period of time (years); short term cardiovascular risk models, to assess the risk...
In this paper, we present a health care system which can diagnose chronic diseases such as metabolic syndrome. In case of chronic invalids health information has to be check periodically, causing major inconvenience to the patient. In this paper, we propose an automatic diagnostic method for detecting metabolic syndrome, by utilizing a collaborative community computing approach in conjunction with...
Health care sector is currently experiencing a major crisis with information overload. With the increasing prevalence of chronic diseases and the ageing population the amount of paper-work is more than ever before. In the US, a hospital admission of one patient generates an estimate of 60 pieces of paper. The federal governments of various countries have passed policies and initiatives that focus...
The analysis of mathematical models of chemiluminescence signal of bioassay is conducted in the article. It was done in a time domain on the basis of exponential function and in frequency domain on the basis of harmonic series and with application of theory of stationary stochastic process. The criteria of estimation of signal are grounded. Verification of mathematical models is conducted for the...
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