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Research Article Open Access
Background and objectives: Software design and development for cardiovascular genetics laboratories.
Materials and methods: Integrated development environment-Delphi 7.0, Pascal language. In this program were laid down results of a retrospective analysis of hypertensive patients hospitalized in the Department of Arterial Hypertension (AH) of the Republican Specialized Center of Cardiology (RSCC) for the period from 2011 to 2013 y., passed the clinical and genetic testing according to the plan of Research Project ADCC-15.13.1. The study included 100 healthy volunteers and 800 patients with I-II grade of essential hypertension EH, all of them were Uzbek males in the mean age of 48.3 ± 8.1 yrs. The study was approved by the medical ethical committee of the center of cardiology, Tashkent Uzbekistan. Informed consent was obtained from each individual recruited.
Results: We have attempted to develop «CDS» application for the genetics cardiology department. For support parameters, we took the results of SNP-genotyping cardiovascular markers, biochemical, clinical parameters, as well as nutritional status. We have developed «GeneSecure» platform with «CDS» for IBM Pentium, Windows OS.
Conclusion: The polygenic nature of EH and incomplete update patient records significantly reduce diagnostic effect of the CDS. However, in some cases, the CDS are not always able to clearly determine the synergistic and intergenomic effect of analyzed genes. These issues occur when the volume of new data exceeds the amount of filer memory, leading to the appearance of these areas, which are very difficult to manage.
Electronic Medical Records (EMR), Clinical Decision Support (CDS), Single Nucleotide Polymorphisms (SNP), DNA Database, Essential Hypertension (EH), Bioactive Compound, Cellular Medicine, Epigenomics, Gene Therapy, Genetic Engineering in Medicine, Genomic Medicine, Human Molecular Genetics, Medicinal Biotechnology, Metabolomics, Molecular Basis of Cancer, Molecular Basis of Obesity, Molecular Diagnosis, Molecular Genetic Test, Molecular Medicine, Nuclear Medicine, Pathology and Molecular Medicine, Personalized Medicine