P Penerapan algoritma equivalence class transformation (eclat) dalam pencarian adverse event obat simvastatin

Ali Husin Siregar Ali; Alwis Nazir Alwis; Iis Afrianty Iis; Elvia Budianita Elvia; Fitri Insani Fitri

doi:10.37859/coscitech.v4i3.6381

Ali Husin Siregar Ali Universitas Islam Negeri Sultan Syarif Kasim Riau
Alwis Nazir Alwis Universitas Islam Negeri Sultan Syarif Kasim Riau
Iis Afrianty Iis Universitas Islam Negeri Sultan Syarif Kasim Riau
Elvia Budianita Elvia Universitas Islam Negeri Sultan Syarif Kasim Riau
Fitri Insani Fitri Universitas Islam Negeri Sultan Syarif Kasim Riau

https://doi.org/10.37859/coscitech.v4i3.6381

Keywords: FDA, ECLAT, cholesterol, simvastatin

Abstract

Cholesterol is a type of fat that circulates in the bloodstream and has an important role in body functions. However, excess cholesterol levels can cause various problems in the body that interfere with the heart, blood vessels, and brain systems. Simvastatin is a lipid-lowering drug in the blood that can reduce cholesterol. In this study, an adverse event was conducted which is an unwanted event in the world of health in the consumption of simvastatin drugs using the Equivalence Class Transformation (ECLAT) algorithm. The data used came from the Food and Drug Administration (FDA) which amounted to 22560 data. Data is managed by the Knowledge Discovery in Databases (KDD) process which goes through several stages, namely data selection, data processing, data transformation, and data mining. Test results are measured based on the lift ratio value which aims to measure the validity of the resulting rule. The test was conducted using a minimum support value of 0.001 and obtained the best lift ratio value of 886.00. In the combination of 2 items, the best rule is "if the duration of therapy is 98 months, it results in acute kidney injury" from 1451 rules with a processing time of 2.70 seconds. The combination of 3 items produces 39 rules with a processing time of 4.46 seconds with the best rule being "if the duration of therapy is 142 months and indicated ill-defined disorder then results in increased blood creatine". The combination of 4 items only produced 18 rules with the best rule being "if sex f, duration of therapy < 1 month and indicated abnormal coronary arteriogram then resulted in anaphylactic shock" in a processing time of 3.45 seconds.

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A Application of the equivalence class transformation (eclat) algorithm in searching for adverse events for the drug simvastatin

Abstract

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