Name
Abstract | ||
|---|---|---|
Goal: Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases in the world. Because COPD is an incurable disease and requires considerable time to be diagnosed even by an experienced specialist, it becomes important to provide analysis abnormalities in simple ways. The aim of the study is to compare multiple machine-learning algorithms for the early diagnosis of COPD using mu... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/JBHI.2019.2931395 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Lung,Diseases,Classification algorithms,Transforms,Training,Feature extraction,Frequency modulation | Journal | 24 |
Issue | ISSN | Citations |
5 | 2168-2194 | 3 |
PageRank | References | Authors |
0.44 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gokhan Altan | 1 | 12 | 2.71 |
| Yakup Kutlu | 2 | 15 | 4.86 |
| Novruz Allahverdi | 3 | 261 | 17.41 |