Attribute Selection Hybrid Network Model for risk factors analysis of postpartum depression using Social media
Article
Article Title | Attribute Selection Hybrid Network Model for risk factors analysis of postpartum depression using Social media |
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ERA Journal ID | 211938 |
Article Category | Article |
Authors | Gopalakrishnan, Abinaya, Gururajan, Raj, Venkataraman, Revathi, Zhou, Xujuan, Chan, Ka Chan, Saravanan, Arul and Sen, Maitrayee |
Journal Title | Brain Informatics |
Journal Citation | 10 |
Article Number | 28 |
Number of Pages | 15 |
Year | 2023 |
Publisher | Springer |
Place of Publication | Germany |
ISSN | 2198-4018 |
2198-4026 | |
Digital Object Identifier (DOI) | https://doi.org/10.1186/s40708-023-00206-7 |
Web Address (URL) | https://braininformatics.springeropen.com/articles/10.1186/s40708-023-00206-7 |
Abstract | Background and objective Methods Results Conclusions |
Keywords | Social media; Neural networks; Physiological questionnaire; Postpartum depression; Attribute selection |
ANZSRC Field of Research 2020 | 420699. Public health not elsewhere classified |
460207. Modelling and simulation | |
Byline Affiliations | School of Business |
SRM Institute of Science and Technology, India | |
SRM Medical College Hospital & Research Centre, India |
https://research.usq.edu.au/item/z393y/attribute-selection-hybrid-network-model-for-risk-factors-analysis-of-postpartum-depression-using-social-media
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