Hypertension Drug Suitability Evaluation Based On Patient Condition with Improved Profile Matching

The accuracy of the type or dosage of drugs by doctors is important. The types and doses of medicines given by the doctors should match the illness suffered by the patient as well as consider the patient's health condition. In hypertension disease, the error rate of drug dosage by medical perso...

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Main Authors: Soetanto, Hari (Author), Hartati, Sri (Author), Wardoyo, Retyanto (Author), Wibowo, Samekto (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2018-08-01.
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LEADER 02674 am a22003253u 4500
001 ijeecs10737_8810
042 |a dc 
100 1 0 |a Soetanto, Hari  |e author 
100 1 0 |e contributor 
700 1 0 |a Hartati, Sri  |e author 
700 1 0 |a Wardoyo, Retyanto  |e author 
700 1 0 |a Wibowo, Samekto  |e author 
245 0 0 |a Hypertension Drug Suitability Evaluation Based On Patient Condition with Improved Profile Matching 
260 |b Institute of Advanced Engineering and Science,   |c 2018-08-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/10737 
520 |a The accuracy of the type or dosage of drugs by doctors is important. The types and doses of medicines given by the doctors should match the illness suffered by the patient as well as consider the patient's health condition. In hypertension disease, the error rate of drug dosage by medical personnel is quite high, reaching 34%. Meanwhile, the administration of the type and dosage of drugs appropriate to the patient's condition required the knowledge of high medical personnel and experienced medical personnel. In this research, we developed the model of drug suitability evaluation with hypertension patient's health condition using Profile Matching method. The proposed model evaluates the patient's health condition based on the parameters provided by the expert and produces recommendations on the type of drug. To optimize the Profile Matching method, in this research we applied interpolation weighting method which calculates the proximity level of the patient profile with drug profile more accurately. Based on the experiment, the proposed model has an accuracy value of 87%, precision 87.11% and recall of 85.44%. It proves that the proposed method can provide recommendations on the right type of hypertension medication. Also, the interpolation weighting method is proven to increase the accuracy.  
540 |a Copyright (c) 2018 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690 |a computer science 
690 |a drug suitability, hypertension, profile matching, interpolation 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 11, No 2: August 2018; 453-461 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v11.i2 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/10737/8810 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/10737/8810  |z Get fulltext