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Building interpretable models for polypharmacy prediction in older chronic patients based on drug prescription records.
Kocbek, Simon; Kocbek, Primoz; Stozer, Andraz; Zupanic, Tina; Groza, Tudor; Stiglic, Gregor.
Affiliation
  • Kocbek S; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
  • Kocbek P; Advanced Analytics Institute, Faculty of Engineering and IT, University of Technology, Sydney, New South Wales, Australia.
  • Stozer A; Department of Computing and Information Systems, University of Melbourne, Melbourne, Victoria, Australia.
  • Zupanic T; Faculty of Health Sciences, University of Maribor, Maribor, Slovenia.
  • Groza T; Institute of Physiology, Faculty of Medicine, University of Maribor, Maribor, Slovenia.
  • Stiglic G; Healthcare Data Center, The National Institute of Public Health of the Republic of Slovenia, Ljubljana, Slovenia.
PeerJ ; 6: e5765, 2018.
Article in En | MEDLINE | ID: mdl-30345175
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: PeerJ Year: 2018 Document type: Article Affiliation country: Australia
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: PeerJ Year: 2018 Document type: Article Affiliation country: Australia