Name
Title | ||
|---|---|---|
Postpartum depression prediction through pregnancy data analysis for emotion-aware smart systems. |
Abstract | ||
|---|---|---|
•Postpartum depression (PPD) prediction using real pregnancy database.•Performance assessment of machine learning algorithms, e.g., ensemble classifiers.•Classification mechanism for PPD indicators: diabetes, preeclampsia, among others.•Use of a real patient dataset from the MEAC-UFC and the cross-validation method. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.inffus.2018.07.001 | Information Fusion |
Keywords | Field | DocType |
Emotion-aware smart systems,Cognitive computing,Information fusion,Mental health solutions,Maternal care quality improvement | Smart system,Pregnancy,Internet of Things,Artificial intelligence,Merge (version control),Big data,Machine learning,Mathematics,Behavior change,Postpartum depression,Cloud computing | Journal |
Volume | ISSN | Citations |
47 | 1566-2535 | 2 |
PageRank | References | Authors |
0.35 | 30 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mario W. L. Moreira | 1 | 24 | 6.29 |
| JOEL J. P. C. RODRIGUES | 2 | 3484 | 341.72 |
| Neeraj Kumar | 3 | 2889 | 236.13 |
| Kashif Saleem | 4 | 214 | 21.58 |
| Igor V. Illin | 5 | 2 | 0.35 |