Tuberculosis Disease Diagnosis Expert System Method of Certainty Factor
| Main Authors: | Br Sembiring, Betti Mastaria, Hasugian, Paska Marto |
|---|---|
| Format: | Article info application/pdf Journal |
| Bahasa: | eng |
| Terbitan: |
Institute Of Computer Science (IOCS)
, 2020
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| Online Access: |
https://iocscience.org/ejournal/index.php/CNAPC/article/view/373 https://iocscience.org/ejournal/index.php/CNAPC/article/view/373/202 |
Daftar Isi:
- Nowadays computers are widely used in the medical world to aid in the diagnosis of a disease. The most frequently encountered Penyakityang adalahpenyakitTuberculosis. Therefore, prevention of tuberculosis disease begins with diagnosing dini.Salah a technique in diagnosing tuberculosis disease is an expert system. Therefore research inibertujuan construct an expert system that is used for early diagnosis of Tuberculosis disease by gejalayang in anguish. The system displays the amount of credence to the possibility of disease symptoms yangdiderita users. The value of these beliefs using Certainty Factor, because the CF is able to determine the value of trust in a greater uncertainty and be able to demonstrate absolute confidence.