Abstract—To release the burden of medical personnel and satisfy users with diversified backgrounds and requirements, a hierarchical intelligent cardiovascular diseases (CVDs) diagnosis system in e-home healthcare is pioneered to perform noninvasive and invasive comprehensive diagnosis with ranked levels and accuracies. As the top-level diagnosis and authoritative reference, the diagnostic results in upstream must be eminently high precise to support functionality of the overall system, yet it is woefully inadequate by only relying on the noninvasive multi-vital-signs employed in lower streams diagnosis. Tackling this, invasive blood test parameters (BTPs) extracted from routine blood test are exploited as complementary. In this paper, an intelligent BTPs diagnosis system is initiated and integrated to entire e-home healthcare. The dedicated frame-based medical database (DB) and knowledgebase (KB) provide the standard for BTPs related studies. An intelligent inference engine (IE) is constructed to perform integrative seamless diagnosis for home users. Experimental results validate the high performance of the proposed system with averaged diagnostic accuracy of 84.38% for 241 site-sampled CVDs records. With such an organic combination of noninvasive and invasive diagnosis, it provides a solid and reliable mainstay for the functionality of the entire system.

Index Terms—Blood test parameters, e-health, frame shell design, hierarchical diagnosis, knowledge representation, noninvasive and invasive comprehensive diagnosis.

Taichun Tang is with the Department of Software Engineering, Faculty of Science and Technology, University of Macau, Macau S.A.R., China (e-mail: tangtai009@163.com).
Jiali Ma, Mubo Chen, and Mingchui Dong are with the Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau S.A.R., China (e-mail: jimohanqiu@hotmail.com, chenmubocs@gmail.com, mcdong@umac.mo).
Zhaoxiong Fang and Lichun Luo are with Shaoshan People’s Hospital, Xiangtan, Hunan, China (e-mail: 522706981@qq.com).

Cite: Taichun Tang, Jiali Ma, Mubo Chen, Mingchui Dong, Zhaoxiong Fang, and Lichun Luo, "Noninvasive and Invasive Comprehensive Intelligent Cardiovascular Diseases Diagnosis in e-Home Healthcare," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 4, no. 5, pp. 326-330, 2014.