Sistem Pakar Mendiagnosa Penyakit Pada Tumor Otak Menggunakan Metode Case Based Reasoning (CBR)

Studi Kasus : RSUD Dr.R.M. Djoelham

Authors

  • Mhd Arif Permata STMIK Kaputama
  • Yani Maulita STMIK Kaputama
  • Victor Maruli Pakpahan STMIK Kaputama

DOI:

https://doi.org/10.62951/modem.v2i4.253

Keywords:

Expert System, Brain Tumor, Case Based Reasoning, Medical Diagnosis, Knowledge Base

Abstract

This research aims to develop an expert system that can diagnose diseases related to brain tumors using the Case Based Reasoning (CBR) method. The CBR method works by comparing new cases with previous cases that have been stored in the database to provide appropriate diagnoses and treatment recommendations. This system is designed to assist medical personnel in analyzing patient symptoms, thus speeding up the process of identifying the type of brain tumor. In addition, the system is also equipped with a knowledge base obtained from real cases that have been validated by medical experts. Test results show that the diagnostic accuracy of this system reaches a fairly high level, especially in detecting frequently encountered types of brain tumors. Thus, this system has the potential to be an effective tool in the medical diagnosis process, especially in patients who show symptoms of brain tumors.

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References

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Published

2024-09-19

How to Cite

Mhd Arif Permata, Yani Maulita, & Victor Maruli Pakpahan. (2024). Sistem Pakar Mendiagnosa Penyakit Pada Tumor Otak Menggunakan Metode Case Based Reasoning (CBR): Studi Kasus : RSUD Dr.R.M. Djoelham. Modem : Jurnal Informatika Dan Sains Teknologi., 2(4), 190–200. https://doi.org/10.62951/modem.v2i4.253

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