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Microarray data analysis approach has been became a widely used tool for disease detection. It uses tens of thousands of genes as input dimension that would be a huge computational problem for data analysis. In this paper, we proposed to apply affinity propagation (AP) clustering for feature genes selection of adult acute Lymphoblastic Leukemias (ALL) microarray data. That is, feature genes can be...
Stata is a comprehensive statistical package. This manuscript together with an example illustrated Stata11.0 procedures and corresponding results in meta- analysis. The outcomes showed that Stata was powerful and personalized and convenient in meta-analysis. At present, there is still lack of strong evidence to support the clinical effect on eradicating helicobacter pylori in chronic gastritis patients...
Statistical dependency analysis is the basis of all empirical science. A commonly occurring problem is to find the most significant dependency rules, which describe either positive or negative dependencies between categorical attributes. For example, in medical science one is interested in genetic factors, which can either predispose or prevent diseases. The requirement of statistical significance...
Genome Wide Association Studies (GWAS) are developed to find direct or indirect relations from given genomic configurations to physical characteristics or specific diseases. In order to build new GWAS, avoiding the complexities of field based studies, a statistical technique called meta-analysis can be used. Bad or unknown data quality has been largely identified as a major problem in meta-analysis...
Epidemic malicious codes including Internet worms and botnets have continuously evolved to be more intelligent and complicated. In particular, the recent distributed denial-of-service (DDoS) attack that occurred in United States and South Korea in July, 2009 gives an opportunity to reconsider the epidemic malicious code. Since automatic patching systems and intelligent intrusion detection and prevention...
The disease causing by negative emotions including anger-out and anger-in is called emotional disease. In this paper the technology of database management is introduced into the research of emotional disease mechanism. The aim of this paper is to create database system of emotional diseases which provide experimental data for epidemiology, clinic retrospection and foresighted research, change the...
Computer Technology has been widely applied to the sports research. However, with researches going on, more and more questions come into being. This paper provides an insight to the processing of multiple choice data and the specific ways of applying computer technology in the light of what is multiple choice questions. The author undergoes a few case studies so as to give a more detailed introduction...
F-value is a statistics which estimates a significance of variables participating discriminant efficiency. It has been used in statistical discriminant analysis. However, it seems a few investigations on real problems which must cope with a numerous number of explanatory variables amount to tens of thousands. In such cases, it becomes important to extract useful variables for classification from a...
Cardiac risk factor assessment requires a classification system that is robust to the interaction and uncertainty of input factors, as well as being interpretable on the decision made. To meet the requirements, we made use of neuro-fuzzy methods, a certain novelty in cardiac risk assessment.Statistic data of 165 patients including sex, age, LDL, blood pressure, and Myocard-brain Creatinine Phosphokinase...
Coronary artery disease is one of the most frequent causes of premature deaths in Slovenia and also in most countries in the world. A ldquogold standardrdquo for treatment of left main coronary artery (LMCA) stenosis is still a surgical therapy; however percutanueous transluminal coronary angioplasty (PTCA) is much simpler for the patients and gives comparable short-term and mid-term results to surgical...
For the critical task of gene module discovery in genomic research, we present a model-based hierarchical data clustering and visualization algorithm, visual statistical data analyzer (VISDA), which effectively exploits human-data interaction to improve the clustering outcome. Guided by a diagnostic tree, we apply VISDA to a muscular dystrophy dataset that contains a number of different phenotypic...
Motivated by the need for clinical screening for early detection of neurologic disease, a prototype portable instrument dubbed the human performance multimeter (HPMM) was developed. The HPMM is based on a set of lab-based performance capacity tests developed and evaluated over the last two decades. We attempted to integrate selected functionality of a set of modular lab-based instruments into a single,...
For the critical task of gene module discovery in genomic research, we present a model-based hierarchical data clustering and visualization algorithm, visual statistical data analyzer (VISDA), which effectively exploits human-data interaction to improve the clustering outcome. Guided by a diagnostic tree, we apply VISDA to a muscular dystrophy dataset that contains a number of different phenotypic...
Motivated by the need for clinical screening for early detection of neurologic disease, a prototype portable instrument dubbed the human performance multimeter (HPMM) was developed. The HPMM is based on a set of lab-based performance capacity tests developed and evaluated over the last two decades. We attempted to integrate selected functionality of a set of modular lab-based instruments into a single,...
The septicemia expert system (SES), an expert system designed for diagnosis of pathogens (DIAGSES) and antibiotics prescription, is discussed. SES is provided with a large clinical database (SES-DB), which includes extensive information about septicemia. A link between the SES-DB and SES was designed to facilitate the evaluation of SES. It showed the possibility of improving DIAGSES efficiency. Statistical...
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