Information System for Diagnosing Certain Cardiovascular and Oncological Diseases (Patent and Related Research)
Creators: name: Chsheglova, Zharkyn
Publisher: name: Zenodo
Year: 2007
Subjects: medical diagnostics
cardiovascular diseases
oncology
databases
ERwin
CASE tools
relational databases
biomedical informatics

description: Abstract:This paper presents the development of an information system designed for diagnosing cardiovascular and oncological diseases. The primary goal of the system is to systematize and analyze data related to genes, proteins, and molecular markers associated with these diseases. The system includes a structured database developed using ERwin CASE tools and relational database management systems (RDBMS) to ensure efficient storage and retrieval of information. The client application enables real-time searching and data analysis, contributing to improved diagnostic accuracy and disease prevention.

The development of this system began in 2007, with initial database modeling and software design. Over the years, the system has been refined, leading to the issuance of Patent No. 4574 in 2019. The system incorporates curated datasets containing information on cardiomyopathies, coronary heart disease, hypertension, and various oncological conditions, including esophageal, gastric, and colorectal cancers. Unlike existing fragmented datasets, this information system integrates manually annotated genetic and protein data, enhancing its reliability and applicability in medical research.

The project leverages entity-relationship (ER) modeling for logical database design and ensures optimal data integrity and accessibility through normalization techniques. Additionally, the implementation of Microsoft SQL Server as the backend database guarantees scalability and high-performance data processing. The software follows a client-server architecture, with a user-friendly interface built in C++ Builder, enabling healthcare professionals and researchers to efficiently navigate and interpret complex biomedical data.

This system has potential applications in personalized medicine, early diagnosis, and targeted therapy development. Future improvements may include machine learning integration for predictive analytics and expanded disease coverage.

Included Documents:This publication includes the following documents as supplementary material:



Patent No. 4574 (2019) – Information System for Diagnosing Certain Cardiovascular and Oncological Diseases

Scientific Articles:



Logical Modeling of an Information System for Diagnosing Certain Cardiovascular and Oncological Diseases

Application of IT in Disease Diagnostics

Use of IT Technologies in Disease Diagnostics



Keywords: medical diagnostics, cardiovascular diseases, oncology, databases, ERwin, CASE tools, relational databases, biomedical informatics

Patent Information:The system was initially developed in 2007, and the patent was granted on July 17, 2019, by the National Institute of Intellectual Property of Kazakhstan.

Publication and Accessibility:This work is intended for publication on open-access platforms such as Zenodo, ResearchGate, and arXiv to facilitate its indexing by Google Scholar and increase its visibility in the global scientific community. The patent document and related research papers are available upon request. Please note that the included documents are in Russian. The metadata and abstract are provided in English for accessibility.