Monitoring patient health based on medical records using fuzzy logic method

Authors

  • Mawaddah Harahap Universitas Prima Indonesia
  • Ari Rizki Pratama Universitas Prima Indonesia
  • Delano Ariesagita Hutagalung Universitas Prima Indonesia
  • Wali Siregar Universitas Prima Indonesia
  • Hendra Sihombing Universitas Prima Indonesia

DOI:

10.33395/sinkron.v3i2.10014

Keywords:

Fuzzy Tsukamoto, patient health monitoring, medical records

Abstract

The Fuzzy Logic concept was first introduced by Prof. Lotfi Zadeh from the University of California at Berkeley in 1965, and presented not as a control methodology, but as a way of processing data by allowing the use of partial set membership compared to the crisp set membership or non-membership. Along with the development of computer technology, the concept of fuzzy logic is increasingly needed by people, because this concept is able to provide information needed in the decision making process. This study aims to analyze and design intelligent systems to monitor the health development of inpatients. The method used is the Fuzzy Logic method. This method will predict the level (degree) of health of each patient based on the amount of drug use and the durationof diagnosis process. The tools used to analyze and design the system are Unified Modeling Language. The results of this research are monitoring the health development of patients using the Fuzzy Logic method.

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How to Cite

Harahap, M., Pratama, A. R., Hutagalung, D. A., Siregar, W., & Sihombing, H. (2019). Monitoring patient health based on medical records using fuzzy logic method. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 3(2), 20-31. https://doi.org/10.33395/sinkron.v3i2.10014

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