Abstract

Case-Based Reasoning is one of the methods used in expert systems. Calculation of similarity degree among the cases has always been an important aspect in CBR as the system will attempt to identify cases with the highest of similarity degree in a case-base to provide solutions for new problems. In this research, a CBR model with input text processing for diagnosing mood [affective] disorder is developed. It correlates with the increased tendency of mood disorder in accordance with the dynamics of the economic and political situation. Calculation of similarity degree among the cases is one of the main focuses in this research. This study proposed a new method to calculate similarity degree between cases, Modified-Tversky. The analysis performed to assess the method used in measuring case similarity reveals that the Modified-Tversky Method surpasses the other methods. In the all tests conducted, the results of case similarity measures using the Modified-Tversky method is greater than or equal to the calculations performed using the Jaccard dan Tversky methods. The test results also provide an average level of performance in processing text input is 89.3 %.

Highlights

  • This study proposed a new method to calculate similarity degree between cases, Modified-Tversky

  • Case-Based Reasoning (CBR) is a method adopted from knowledge-based system in various domains

  • The development of CBR possesses vast research opportunities including those related to case similarity calculation algorithms, indexing techniques to increase the efficiency of retrieval processes, case representation techniques, and methods to append new cases to the case base [2]

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Summary

INTRODUCTION

Case-Based Reasoning (CBR) is a method adopted from knowledge-based system in various domains. The development of CBR possesses vast research opportunities including those related to case similarity calculation algorithms, indexing techniques to increase the efficiency of retrieval processes, case representation techniques, and methods to append new cases to the case base [2]. Mood [affective] disorder is caused by the inability of an individual to adapt to social evolution. That choice of field of implementation is based on the increased tendency of mood disorder due to the occurance of economic and political change. Every single human being exhibits different kinds of emotions Those expressions and feelings vary and is usually temporary, but could pose a problem if not immediately treated, resulting in emotional disorder including heavy depression rendering the subject devoid of motivation, happiness, and empathy. This condition could formulate as a chronic and repetitive problem interfering with an individual’s ability to live out his everyday responsibilities

CBR RESEARCH IN HEALTH
TEXT PROCESSING
CALCULATION OF CASE SIMILARITY DEGREE
RESULTS AND DISCUSSION
VIII. CONCLUSION
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