Name
Abstract | ||
|---|---|---|
•Identification of anaphylaxis cases in records by machine learning classifiers.•Linear classifiers achieve very high performance (F1 = 95%).•CNN provides slightly better performance, but with higher computation time.•The use of undersampling does not improve the results. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jbi.2018.09.012 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Machine learning,EMR classification,Bag of centroids,Anaphylaxis,Balancing strategies | Bag-of-words model,Data mining,Convolutional neural network,Computer science,Undersampling,Multilayer perceptron,Artificial intelligence,Word embedding,Cluster analysis,Random forest,Big data,Machine learning | Journal |
Volume | ISSN | Citations |
87 | 1532-0464 | 0 |
PageRank | References | Authors |
0.34 | 24 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Isabel Segura-Bedmar | 1 | 435 | 30.96 |
| Cristobal Colón-Ruíz | 2 | 0 | 0.34 |
| Miguél Ángel Tejedor-Alonso | 3 | 0 | 0.34 |
| Mar Moro-Moro | 4 | 0 | 0.34 |