英文摘要 |
This paper presents a research of building a computer diagnosis and decision support system for coronary heart diseases by applying the expert system technology in artificial intelligence. The objectives of this research aim to build a decision support system for coronary heart diseases to aid the heart-disease physicians able to evaluate the disease entity at the earlier stage and decide on the severity of the disease so that a prompt and better treatment can be provided, thus can reduce the unnecessary medical expenditure whilst avoid the pain of get ting illness of patients. In this research, we firstly review medical journals and collective survey data of the physician expertise knowledge of coronary artery heart disease to facilitate the foundation of building the rule-based expert system and reasoning engine. Through the logical reasoning of the expert system, enriching the inquiry function to an interactive level, we can institute an interactive program for the diagnosis and decision-making expert system for coronary heart diseases. The Java language and the JESS (Java Expert System Shell) are selected as the system development tools and system reasoning engine by applying the diagnostic knowledge and treatment guidelines of coronary artery heart disease to build the system. The experimental results show this computer diagnosis and decision support system truly can provide same as and even better diagnostic level than a single physician of coronary heart disease. Through the aid of this system, the physicians can break through their restrictions of narrow professional knowledge, reduce their tedious memory\ies, and gain more broad information to enhance their quality of cares. This system also may enable early identification of risks, provide more aggressive treatment and reduce the appearance of symptoms like angina, heart failure etc. which may result in the expensive treatment modalities, as well as to lessen the incidence of coronary heart disease. |