An Ontology based Expert System for Diagnosis and Recommendation in Hemodialysis Patient

Main Article Content

จุฑามาศ เทียนสอาด
อรวรรณ อิ่มสมบัติ


- This paper proposed the development of an ontology based expert system for diagnosis and recommendation in hemodialysis patients due to lack of expert dialysis nurses. Knowledge of the system is extracted from academic textbooks and tacit knowledge from expert dialysis nurses and is represented as If-Then Rules and Ontology. The knowledgebase of the system contains 89 rules, 52 concepts of drug ontology and 130 concepts of food ontology. The rule conditions are consisted of 26 patient’s blood test results and patient's medical treatment history. The system uses forward chaining to inference the diagnosis and recommendation for patients. The system was developed with PHP programming language and MySQL database is used for storing the knowledge and the data of the system. After 30 patient’s data were treated in this experiment, results found that the expert system can efficiently diagnosis and recommend patients with precision value of 96.89% and recall value of 95.39%, comparing with expert dialysis nurses’ answers.

Article Details

How to Cite
เทียนสอาด จ. and อิ่มสมบัติ อ., “An Ontology based Expert System for Diagnosis and Recommendation in Hemodialysis Patient”, JIST, vol. 3, no. 2, pp. 22–30, Dec. 2012.
Research Article: Soft Computing (Detail in Scope of Journal)


1. April Rose C. Semogan, Bobby D. Gerardo, Bartolome T. Tanguilig III, Joel T. de Castro, Louie F. Cervantes, "A Rule-Based Fuzzy Diagnostics Decision Support System for Tuberculosis," 2011 Ninth International Conference Software Engineering, Management and Applications, pp. 60-63, 2011

2. Chen, Ping-Tsai Chung and Bing-Xing, "A knowledge-based decision system for healthcare diagnosis and advisory," IEEE International Conference, 2011

3. Daugirdas JT, Van Stone JC., Boag JT. Handbook of Dialysis, 4th ed. USA.:Lippincott Williums& Wilkins; 2007.

4. Fu Zetiana, b, Xu Fengb, c, Zhou Yunb, c, Zhang XiaoShuan, “Pig-vet: a web-based expert system for pig disease diagnosis,” Expert Systems with Applications, Vol. 29, no. 1, pp. 93–103, July 2005

5. Gonzalez-Andujar, J.L, "Expert system for pests, diseases and weeds identification in olive crops," Expert Systems with Applications, vol. 36, no. 2, pp. 3278-3283, March. 2009

6. H.C Passamb, A.B Sideridisb, C.P Yialourisa. "DIARES-IPM: A diagnostic advisory rule-based expert system for integrated pest management in Solanaceous crop systems," Agricultural Systems, vol. 76 , no. 3, pp. 1119–1135, June. 2003

7. เกื้อเกียรติ ประดิษฐ์พรศิลป์ และคณะ. “TRT: THAILAND RENAL REPLACEMENT THERAPY YEAR 2009”. กรุงเทพฯ: สมาคมโรคไตแห่งประเทศไทย, 2554

8. จันทนา ชื่นวิสิทธิ์. "Long term complication in chronic hemodialysis patients". ใน เอกสารประกอบการประชุมวิชาการประจาปี 2552. ชมรมพยาบาลโรคไตแห่งประเทศไทย. Pave the way to seamless in RRT patients. โรงแรมปรินซ์พาเลซ กรุงเทพ; 2552.หน้า 34-74

9. ธนิต จิรนันท์ธวัช และคณะ. Quality dialysis in the year 2010. พิมพ์ครั้งที่ 1. กรุงเทพฯ : เท็กซ์แอนด์เจอร์นัลพับลิเคชั่น, 2553

10. สมชาย เอี่ยมอ่อง และเกื้อเกียรติ ประดิษฐ์พรศิลป์. Essentials in chronic hemodialysis. พิมพ์ครั้งที่ 1. กรุงเทพฯ: โรงพยาบาลจุฬาลงกรณ์ สภากาชาดไทย, 2548