A rule-based disease diagnostic system using a temporal relationship model

Chien Chih Wang, Ming Nan Chien, Chua Huang, Li Liu

研究成果: 書貢獻/報告類型會議貢獻

5 引文 斯高帕斯(Scopus)

摘要

We use a temporal model to express temporal relationships among diseases that may have mutual affect potentially. The temporal model defines six types of relationships: before, after, contained, contains, start-overlap, and end-overlap. First, the ternporal relationship between diseases of each patient is searched, and then, the temporal relationships of all patients are analyzed to determine the correlation of these diseases. The timestamped diagnostic data are built as facts and the physician specified rules of diseases are built as inference rules of the inference engine. The temporal relationship model is implemented as a rule based system using the Java based expert system, Jess. The rules for determining disease diagnoses and temporal relationships are written as text files and are input to the system. The major goal of this paper is to provide a system kernel for applications of medical diagnosis system.
原文英語
主出版物標題Proceedings - Fourth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007
頁面109-115
頁數7
4
DOIs
出版狀態已發佈 - 2007
事件4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007 - Haikou, 中国
持續時間: 八月 24 2007八月 27 2007

會議

會議4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007
國家/地區中国
城市Haikou
期間8/24/078/27/07

ASJC Scopus subject areas

  • 人工智慧
  • 軟體
  • 應用數學
  • 理論電腦科學

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