Exploring the transition to fatherhood: feasibility study using social media and machine learning Teague, Samantha J and Shatte, Adrian BR 2018, Exploring the transition to fatherhood: feasibility study using social media and machine learning, JMIR pediatrics and parenting, vol. 1, no. 2, Jul-Dec, pp. 1-13, doi: 10.2196/12371. Attached Files Name Description MIMEType Size Downloads Title Exploring the transition to fatherhood: feasibility study using social media and machine learning Author(s) Teague, Samantha J orcid.org/0000-0002-0487-7307 Shatte, Adrian BR orcid.org/0000-0002-6225-9697 Journal name JMIR pediatrics and parenting Volume number 1 Issue number 2 Season Jul-Dec Article ID e12371 Start page 1 End page 13 Total pages 13 Publisher JMIR Publications Place of publication Toronto, Ont. Publication date 2018 Keyword(s) parenting perinatal care fathers social media parent-child relations infodemiology unsupervised machine learning Language eng DOI 10.2196/12371 HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2018, Samantha J Teague, Adrian BR Shatte Persistent URL http://hdl.handle.net/10536/DRO/DU:30116142 Document type: Journal Article Collections: Faculty of Health School of Psychology Open Access Checking Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 18 Dec 2018, 14:01:46 EST Wed, 19 Dec 2018, 04:00:43 EST Wed, 02 Jan 2019, 13:32:11 EST Sat, 18 May 2019, 06:02:04 EST Tue, 21 May 2019, 09:35:25 EST Tue, 21 May 2019, 09:37:17 EST Tue, 21 May 2019, 09:38:02 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 47 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Tue, 18 Dec 2018, 14:01:46 EST

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