Agus, Wantoro and Admi, Syarif and Khairun Nisa, Berawi and Lukman, Pura (2020) Application-Based on Fuzzy Tsukamoto And Profile Matching for Combination Drugs Recommendations in Patients Hypertension with Complications. Solid State Technology, 63 (6). ISSN 0038-111X

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Abstract

Hypertension is still the number one killer disease in Indonesia, and hypertension sufferers have increased by 8.3% per year from 2013-2018. In 2018 the prevalence of hypertension in Indonesia reached 34.1% and affected about 20% of the world's population. Handling of hypertension sufferers can be done in two ways, namely modifying lifestyle and using drugs. Antihypertensive drugs that are given pay attention to age, history of the disease, smoking habits, obesity, and consider diseases such as diabetes, kidney, heart failure, and ischemic heart. Improper use of antihypertensive drugs often causes fever, diarrhea, diabetes, kidney failure, stress, breathing through the mouth, neurological disorders, radiation to the neck and head area, and localized disorders of the salivary glands. Doctors or medical personnel in providing antihypertensive drugs require good pharmacological knowledge. In general, not all hospitals have someone who is an expert in pharmacology. Therefore this study aims to develop a model based on Fuzzy Tsukamoto and Profile Matching for a recommendation of drug combinations, the suitability of dosage, and frequency in hypertensive patients. The results of the model evaluation show an accuracy of 97.5%

Item Type: Article
Subjects: R Medicine > R Medicine (General)
Divisions: Fakultas Kedokteran (FK) > Prodi Pendidikan Dokter
Depositing User: KHAIRUN NI NISA BERAWI
Date Deposited: 16 Nov 2021 07:15
Last Modified: 16 Nov 2021 07:15
URI: http://repository.lppm.unila.ac.id/id/eprint/36905

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