Your browser doesn't support javascript.
loading
Author Correction: Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records.
Bean, Daniel M; Wu, Honghan; Iqbal, Ehtesham; Dzahini, Olubanke; Ibrahim, Zina M; Broadbent, Matthew; Stewart, Robert; Dobson, Richard J B.
Affiliation
  • Bean DM; Department of Biostatistics and Health Informatics, Institute of Psychiatry Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom.
  • Wu H; Department of Biostatistics and Health Informatics, Institute of Psychiatry Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom.
  • Iqbal E; Department of Biostatistics and Health Informatics, Institute of Psychiatry Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom.
  • Dzahini O; South London and Maudsley NHS Foundation Trust, Denmark Hill, London, SE5 8AZ, United Kingdom.
  • Ibrahim ZM; Institute of Pharmaceutical Science, King's College, London, 5th Floor, Franklin-Wilkins Building, 150 Stamford Street, London, SE1 9NH, United Kingdom.
  • Broadbent M; Department of Biostatistics and Health Informatics, Institute of Psychiatry Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, United Kingdom.
  • Stewart R; Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, WC1E 6BT, United Kingdom.
  • Dobson RJB; South London and Maudsley NHS Foundation Trust, Denmark Hill, London, SE5 8AZ, United Kingdom.
Sci Rep ; 8(1): 4284, 2018 Mar 06.
Article in En | MEDLINE | ID: mdl-29511265
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sci Rep Year: 2018 Document type: Article Affiliation country: United kingdom Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sci Rep Year: 2018 Document type: Article Affiliation country: United kingdom Country of publication: United kingdom