Case Based Reasioning (CBR) for Medical Question Answering System
Corresponding Author(s) : Setio Basuki
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control,
Vol 3, No 2, May-2018
Abstract
In this research, the researchers implement a medical Question Answering System (QAS), a complaint system in the form of sentences or paragraphs of questions about the complaint (illness) suffered by a person. Afterwards, the system will give answer to the questions with answers in the form of diagnosis based on the system knowledge. The system in this study has knowledge of the system obtained based on Case Based Reasoning (CBR) method from the previous cases stored in the database. When there is a new case, the system will perform a matching process using CBR and Sorenson Coefficient calculations to find out which the previous cases have the highest percentage of matches with the new case. Then the selected previous cases will be taken and given to the new case. Testing is processed by using 2 types of testing, expert validation testing with result of 28 data of appropriate test from 30 test data and accuracy testing resulting of 93,33% from the appropriate test data.
Keywords
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- M. Tiyas and A. Rohmani, “Relationship between Patient Satisfaction and Patient Interest in Re-utilization of Health Service on Family Doctor Practice," Medical Faculty of University of Muhammadiyah Semarang, Vol. 1, No. 1, Pp. 155, 2012.
- E. Durkheim and M. Weber, “Unit 3,” Religion, Pp. 23–30.
- A. Fadli, "Basic Expert System," Pp. 1–8, 2010.
- D. Rachmat, “Implementation of Sorensen Coefficient Method in Determining Dengue Fever Potential Regions (Case Study: Pontianak City).”
- M. Nugraheni, U. Ahmad, and D. Yogyakarta, “Design Case-Based Reasoning,” Study Program of Informatics Engineering, Vol. 6, No. 1, Pp. 612–616, 2012.
- O. Agustina, "Case Based Reasoning for Preeclampsia Pregnancy Detection Using Sorensen Coefficient Method," Malang: University of Muhammadiyah Malang, 2015.
- M. Taufik, "Case Based Reasoning Using Sorensen Coefficient Method in Determining Tourism Destinations in Lombok, West Nusa Tenggara," Malang: University of Muhammadiyah Malang, 2015.
- S. Mulyana, “Short Review on Case Based Reasoning Development," National Seminar of Informatics 2009 UPN “Veteran” Yogyakarta, Vol. 2009, No. semnasIF, Pp. 17–24, 2009.
- A. S. Aribowo and S. Khomsah, “Case Based Reasoning for Leukemia Early Detection," Vol. 2012, No. semnasIF, Pp. 168–174, 2012.
- A. P. Putra, A. P. Kurniati, and A. Romadhony, “Expert System Using Case Based Reasoning, Rule Based Reasoning and Theorema Bayes (Case Study: Common Disease Detection),” Pp. 2–5.
References
M. Tiyas and A. Rohmani, “Relationship between Patient Satisfaction and Patient Interest in Re-utilization of Health Service on Family Doctor Practice," Medical Faculty of University of Muhammadiyah Semarang, Vol. 1, No. 1, Pp. 155, 2012.
E. Durkheim and M. Weber, “Unit 3,” Religion, Pp. 23–30.
A. Fadli, "Basic Expert System," Pp. 1–8, 2010.
D. Rachmat, “Implementation of Sorensen Coefficient Method in Determining Dengue Fever Potential Regions (Case Study: Pontianak City).”
M. Nugraheni, U. Ahmad, and D. Yogyakarta, “Design Case-Based Reasoning,” Study Program of Informatics Engineering, Vol. 6, No. 1, Pp. 612–616, 2012.
O. Agustina, "Case Based Reasoning for Preeclampsia Pregnancy Detection Using Sorensen Coefficient Method," Malang: University of Muhammadiyah Malang, 2015.
M. Taufik, "Case Based Reasoning Using Sorensen Coefficient Method in Determining Tourism Destinations in Lombok, West Nusa Tenggara," Malang: University of Muhammadiyah Malang, 2015.
S. Mulyana, “Short Review on Case Based Reasoning Development," National Seminar of Informatics 2009 UPN “Veteran” Yogyakarta, Vol. 2009, No. semnasIF, Pp. 17–24, 2009.
A. S. Aribowo and S. Khomsah, “Case Based Reasoning for Leukemia Early Detection," Vol. 2012, No. semnasIF, Pp. 168–174, 2012.
A. P. Putra, A. P. Kurniati, and A. Romadhony, “Expert System Using Case Based Reasoning, Rule Based Reasoning and Theorema Bayes (Case Study: Common Disease Detection),” Pp. 2–5.