Towards Machine Learning Approaches for Predicting Risk Level of Postpartum Depression
Author:
Affiliation:
1. University of Kelaniya,Department of Statistics and Computer Science,Sri Lanka
2. University of Ruhuna,Department of Interdisciplinary Studies,Sri Lanka
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10002417/10002386/10002477.pdf?arnumber=10002477
Reference24 articles.
1. Machine Learning Models for the Prediction of Postpartum Depression: Application and Comparison Based on a Cohort Study
2. edinburgh_perinatal_postnatal_depression_scale_epds_.-scoringguide,0
3. Context Deep Neural Network Model for Predicting Depression Risk Using Multiple Regression
4. Prediction of Depression among Women Using Random Oversampling and Random Forest
5. A neuro-fuzzy approach for the diagnosis of depression
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