Implementation of Fuzzy-Profile Matching In Determining Drug Suitability for Hypertensive Patients

EasyChair Preprint no. 1266

Abstract

Up to the present time Hypertension is still the number one killer disease in Indonesia where the number of patients has increased from 2013-2018. Hypertension affects around 20% of the world's population. Treatments of patients with hypertension can be done in two ways, namely modifying lifestyle and antihypertensive drugs. Generally giving hypertensive drugs depends on age, history of illness, smoking habits, obesity, and on diseases such as diabetes, kidney failure, heart failure and ischemic heart disease. Iinappropriate use of antihypertensive drugs often causes complaints such as fever, diarrhea, diabetes, kidney failure, stress, mouth breathing, nerve disorders, radiation to the neck and head area, and local disturbances in the salivary glands. In providing antihypertensive drugs that are appropriate to the patient's condition, doctor and medical personnels are required to have high pharmacological knowledge. Not all hospitals have pharmacology experts, therefore this study was conducted to develop a model that can be used as a drug suitability model based on the patient's condition. The method used in this study is Weight Matching Using Fuzzy Logic. Based on the results of comparisons with expert 1 and expert 2, the results of the average system testing are obtained with a value of 100% precision, recall 96.6% and accuracy 96.5%. Tests show that the application with a fuzzy logic approach can increase the efficiency of 9.5% compared to the interpolation weighting method

Keyphrases: Artificial Intelligence, Drug Fitness Problem, Fuzzy Logic, Hypertension, profile matching

@Booklet{EasyChair:1266,
  author = {Agus Wantoro and Admi Syarif and Kurnia Muludi and Khairun Nisa Berawi},
  title = {Implementation of Fuzzy-Profile Matching  In Determining Drug Suitability for Hypertensive Patients},
  howpublished = {EasyChair Preprint no. 1266},

  year = {EasyChair, 2019}}