Name
Title | ||
|---|---|---|
Evidence-based clinical engineering: Machine learning algorithms for prediction of defibrillator performance. |
Abstract | ||
|---|---|---|
•Paper structure was adjusted.•Part with explination of different machine learning algorithms was deleted.•Abstract was adjusted.•Overall english literacy check was performed.•Discussion was corrected in a more comprihensive matter. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.bspc.2019.101629 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Automated system,Machine learning,Medical device,Maintenance,Management,Prediction,Performance,Inspection,Evidence-based | Health care,Health technology,Feature selection,Algorithm,Artificial intelligence,System development,Random forest,Genetic algorithm,Machine learning,Clinical engineering,Mathematics,Evidence-based practice | Journal |
Volume | ISSN | Citations |
54 | 1746-8094 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Almir Badnjevic | 1 | 10 | 9.40 |
| Lejla Gurbeta | 2 | 0 | 0.34 |
| Mehrija Hasicic | 3 | 0 | 0.34 |
| Lejla Bandic | 4 | 0 | 0.34 |
| Zerina Masetic | 5 | 23 | 1.57 |
| Zivorad Kovacevic | 6 | 0 | 0.68 |
| Jasmin Kevric | 7 | 162 | 7.27 |
| Leandro Pecchia | 8 | 192 | 15.66 |