Comparing data-mining algorithms developed for longitudinal observational databases

Oct-12

Database

AUTHORS : Dr Jenna Marie Reps (Details for study: University of Nottingham) now works for Janssen, Raritan, New Jersey, USA – Email: jreps@its.jnj.com – Profile (OHDSI): https://www.ohdsi.org/who-we-are/collaborators/jenna-reps/ OR Dr Jack E. Gibson, Division of Epidemiology & Public Health, School of Medicine, University of Nottingham, Clinical Sciences Building Phase II, City Hospital, Hucknall Road, Nottingham, NG5 1PB, UK – Email: jack.gibson@nottingham.ac.uk – Profile: https://www.nottingham.ac.uk/medicine/about/divisions-and-units/epidemiology-and-public-health/people/jack.gibson OR Prof Richard Hubbard, Clinical Sciences Building, Nottingham City Hospital, Hucknall Road, Nottingham NG5 1PB, UK – Email: richard.hubbard@nottingham.ac.uk – Profile: https://www.nottingham.ac.uk/research/groups/clinicalepidemiology/people/richard.hubbard OR Prof Uwe Aickelin (Info for this study: Department of Computer Science, University of Nottingham) now works at School of Computing and Information Systems, Melbourne School of Engineering, University of Melbourne – Email: uwe.aickelin@unimelb.edu.au – Profile: https://findanexpert.unimelb.edu.au/profile/815636-uwe-aickelin

JOURNAL : IEEE Xplore Digital Library

REFERENCE:

DOI : 10.1109/UKCI.2012.6335771

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