Loading...
Please wait, while we are loading the content...
Similar Documents
Model Expert System for Diagnosis of Covid-19 Using Naïve Bayes Classifier
| Content Provider | Scilit |
|---|---|
| Author | Henderi Silahudin, D. Holidin, A. |
| Copyright Year | 2020 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering This paper offers an expert system model for COVID-19 diagnosis as an effort to overcome the spread of COVID-19 in Indonesia. The expert system model was built using the Naive Bayes Classifier method. Model development is carried out with preliminary research stages, data collection, analysis, model design, implementation, and testing. The data used to build and test the model comes from the health department and the acceleration of the Covid- 19 countermeasure group in Indonesia. The model was developed with a unified modeling language and a prototyping approach. Tests show that the developed COVID-19 diagnosis system expert model can diagnose COVID-19 based on the symptoms inputted by the user into the system. The application of the model produced in this study helps assist doctors in diagnosing COVID-19. |
| Related Links | https://iopscience.iop.org/article/10.1088/1757-899X/1007/1/012067/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/1007/1/012067 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 1 |
| Volume Number | 1007 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2020-12-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Characterization and Testing of Materials System for Diagnosis Expert System Model Diagnosis System Expert Model |
| Content Type | Text |
| Resource Type | Article |
