Abstract
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. Inappropriate use of antihypertensive drugs often causes complaints such as fever, diarrhea, diabetes, mouth breathing, nerve disorders, radiation to the neck and head area. In providing hypertensive 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.
Highlights
Hypertension is a condition where blood pressure is >140/90 millimeters of mercury mmHG [1].Hypertension is still the number one killer disease in Indonesia and hypertensive sufferers always experience an increase from 2013-2018 [2]
The stage of creating knowledge base is done by involving doctors/experts in the field of hypertension, considering the patient's condition data and antihypertensive drugs obtained from the patient's medical record, and the criteria used as a reference for the type of medicine that is appropriate to the patient's health condition
The second test conducted by different experts showed better accuracy with 100% precision, 98.5 recall and 98% accuracy
Summary
Hypertension is a condition where blood pressure is >140/90 millimeters of mercury mmHG [1]. The results of an expert evaluation found a relationship between the types of hypertension drugs with the patient's health condition. Research shows that 34% of anti-hypertensive drugs given by medical personnel are not the right dose [7]. This study was conducted to develop a model that can be used as a match for drugs based on the patient's condition. This study will be developed using a fuzzy logic approach to calculate weighs to improve accuracy results. The medical record data are used as input parameters of the patient's condition. The results of this study are in the form of a model of suitability of hypertension drugs with a better level of accuracy that can be used by doctors or medical personnel as a recommendation in providing medications for patients with hypertension
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