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Attribute Selection Hybrid Network Model for risk factors analysis of postpartum depression using Social media.

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Title: Attribute Selection Hybrid Network Model for risk factors analysis of postpartum depression using Social media.
Authors: Gopalakrishnan A; School of Business, University of Southern Queensland, Springfield, QL, Australia. abinaya.gopalakrishnan@usq.edu.au.; Department of Networking and Communications, School of Computing, SRM Institute of Science and Technology, Chennai, India. abinaya.gopalakrishnan@usq.edu.au., Gururajan R; School of Business, University of Southern Queensland, Springfield, QL, Australia.; Department of Networking and Communications, School of Computing, SRM Institute of Science and Technology, Chennai, India., Venkataraman R; Department of Networking and Communications, School of Computing, SRM Institute of Science and Technology, Chennai, India., Zhou X; School of Business, University of Southern Queensland, Springfield, QL, Australia. Xujuan.Zhou@usq.edu.au., Ching KC; School of Business, University of Southern Queensland, Springfield, QL, Australia., Saravanan A; Department of Psychiatry, SRM Medical College Hospital & Research Centre, Chennai, India., Sen M; Department of Obstetrics and Gynaecology, SRM Medical College Hospital & Research Centre, Chennai, India.
Source: Brain informatics [Brain Inform] 2023 Oct 31; Vol. 10 (1), pp. 28. Date of Electronic Publication: 2023 Oct 31.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101673751 Publication Model: Electronic Cited Medium: Print ISSN: 2198-4018 (Print) Linking ISSN: 21984026 NLM ISO Abbreviation: Brain Inform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Gopalakrishnan+A%22">Gopalakrishnan A</searchLink>; School of Business, University of Southern Queensland, Springfield, QL, Australia. abinaya.gopalakrishnan@usq.edu.au.; Department of Networking and Communications, School of Computing, SRM Institute of Science and Technology, Chennai, India. abinaya.gopalakrishnan@usq.edu.au.<br /><searchLink fieldCode="AU" term="%22Gururajan+R%22">Gururajan R</searchLink>; School of Business, University of Southern Queensland, Springfield, QL, Australia.; Department of Networking and Communications, School of Computing, SRM Institute of Science and Technology, Chennai, India.<br /><searchLink fieldCode="AU" term="%22Venkataraman+R%22">Venkataraman R</searchLink>; Department of Networking and Communications, School of Computing, SRM Institute of Science and Technology, Chennai, India.<br /><searchLink fieldCode="AU" term="%22Zhou+X%22">Zhou X</searchLink>; School of Business, University of Southern Queensland, Springfield, QL, Australia. Xujuan.Zhou@usq.edu.au.<br /><searchLink fieldCode="AU" term="%22Ching+KC%22">Ching KC</searchLink>; School of Business, University of Southern Queensland, Springfield, QL, Australia.<br /><searchLink fieldCode="AU" term="%22Saravanan+A%22">Saravanan A</searchLink>; Department of Psychiatry, SRM Medical College Hospital & Research Centre, Chennai, India.<br /><searchLink fieldCode="AU" term="%22Sen+M%22">Sen M</searchLink>; Department of Obstetrics and Gynaecology, SRM Medical College Hospital & Research Centre, Chennai, India.
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  Data: <searchLink fieldCode="JN" term="%22101673751%22">Brain informatics</searchLink> [Brain Inform] 2023 Oct 31; Vol. 10 (1), pp. 28. <i>Date of Electronic Publication: </i>2023 Oct 31.
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              Text: 2023 Oct 31
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