| Issue |
E3S Web Conf.
Volume 31, 2018
The 2nd International Conference on Energy, Environmental and Information System (ICENIS 2017)
|
|
|---|---|---|
| Article Number | 11006 | |
| Number of page(s) | 7 | |
| Section | 11. Smart Information Systems | |
| DOI | https://doi.org/10.1051/e3sconf/20183111006 | |
| Published online | 21 February 2018 | |
Automation Diagnosis of Skin Disease in Humans using Dempster-Shafer Method
Department of Computer Science, Faculty of Computer Science and Information Technology, Mulawarman University, Samarinda - Indonesia
* Corresponding author: dyna.ilkom@gmail.com
Skin disease is an infectious disease that is common in people of all ages. Disorders of the skin often occur because there are factors, among others, are climate, environment, shelter, unhealthy living habits, allergies and others. Skin diseases in Indonesia are mostly caused by bacterial, fungal, parasitic, and allergies. The objective of the research is to diagnose skin diseases in humans by using the method of making decision tree then performing the search by forward chaining and calculating the probability value of Dempster-Shafer method. The results of research in the form of an automated system that can resemble an expert in diagnosing skin disease accurately and can help in overcoming the problem of skin diseases.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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