ACADSTAFF UGM
| Title | : | A Development of Modified Profile Matching and Borda for Determining Treatment Priorities for Hemorrhage Stroke Patients |
| Author | : |
Widyastuti Amdriyani (1) Prof. Dra. Sri Hartati, M.Sc., Ph.D. (2) Prof. Drs. Retantyo Wardoyo, M.Sc., Ph.D. (3) Prof. Dr. dr. Samekto Wibowo, Sp.S(K)., Sp.S(K). (4) |
| Date | : | 0 2019 |
| Keyword | : | Stroke Hemorrhage,Operative,conservative,decision model,profle matching,SAW (Simple Additive Weighting) Stroke Hemorrhage,Operative,conservative,decision model,profle matching,SAW (Simple Additive Weighting) |
| Abstract | : | Recommendations for treatment dealing with stroke patients can be done with an intelligent system science approaches. One of them is through a decision support system based on the symptoms and features possessed and suffered by patients. The patient's symptoms and features are used as input for the decision support system to determine the priority of treatment, namely operative or conservative. This study aims to develop a decision support model for a medical expert group by utilizing the parameter features obtained from the examination results in the emergency unit. The results of this study are in the form of a group of medical expert decision models that each specialist has various parameter features that are used to support operative and conservative measures in hemorrhage stroke patients. For individual decision models, weighting of features is carried out directly by specialist doctors, whereas to determine patient feature scores on doctor’s knowledge for patient treatment, the Profile Matching method is applied. The profile matching method was developed and modified by utilizing linear interpolation to determine the score instead of using a gap which had several weaknesses. For determining priority treatment, the SAW (Simple Additive Weighting) method is used. The group decision decision model uses BORDA to determine group common priorities. A testing for 10 patients using our GDSS compared with the common recommendation of specialist group shows the similarity of 70% (based on the confusion matrix). |
| Group of Knowledge | : | Ilmu Komputer |
| Original Language | : | English |
| Level | : | Internasional |
| Status | : |
Published
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| 1 |
jurnal_ca_2054391_efab0706d5e702fdf0ef902ea7e726f3.pdf
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| 2 |
A-Development-of-Modified-Profile-Matching-and-Borda-for-Determining-Treatment-Priorities-for-Hemorrhage-Stroke-Patients.pdf
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| 3 |
A Development of Modified Profile Matching and Borda for Determining Treatment Priorities for Hemorrhage Stroke Patients.pdf
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