Name
Title | ||
|---|---|---|
Enhancing random forest classification with NLP in DAMEH: A system for DAta Management in eHealth Domain |
Abstract | ||
|---|---|---|
•We apply NLP approaches in features choice for enhancing Classifier based on Random Forests approach.•We analyze medical records to retrieve features for clinical records classifications in smart environments.•We use a Machine Learning approach to build a fast multi-classification schema.•We apply the methodology to real case studies from health-care organizations in Italy.•We show accuracy of presented approach in terms of Accuracy-Rejection curves. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neucom.2020.08.091 | Neurocomputing |
Keywords | DocType | Volume |
Big data processing,E-health,Machine learning,Random forests,Multi-classification schema | Journal | 444 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Flora Amato | 1 | 458 | 66.48 |
| Luigi Coppolino | 2 | 239 | 32.53 |
| Giovanni Cozzolino | 3 | 3 | 15.60 |
| Giovanni Mazzeo | 4 | 32 | 7.19 |
| Francesco Moscato | 5 | 298 | 32.28 |
| oberto Nardone | 6 | 0 | 0.34 |