Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/16916
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dc.contributor.authorRanasinghe, Weranja-
dc.contributor.authorBandaragoda, Tharindu-
dc.contributor.authorDe Silva, Daswin-
dc.contributor.authorAlahakoon, Damminda-
dc.date.accessioned2017-10-25T00:18:23Z-
dc.date.available2017-10-25T00:18:23Z-
dc.date.issued2017-11-
dc.identifier.citationBJU International 2017; 120(Supp 3): 59-61en_US
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/16916-
dc.titleA novel framework for automated, intelligent extraction and analysis of online support group discussions for cancer related outcomesen_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleBJU Internationalen_US
dc.identifier.affiliationDepartment of Urology, Austin Health, Heidelberg, Victoria, Australiaen_US
dc.identifier.affiliationResearch Centre for Data Analytics and Cognition, La Trobe University, Victoria, Australiaen_US
dc.identifier.pubmedurihttps://pubmed.ncbi.nlm.nih.gov/29058379en_US
dc.identifier.doi10.1111/bju.14036en_US
dc.type.contentTexten_US
dc.type.austinJournal Articleen_US
item.fulltextNo Fulltext-
item.openairetypeJournal Article-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.cerifentitytypePublications-
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