Feature selection in detection of adverse drug reactions from the Health Improvement Network (THIN) database

Bibliographic Details
Main Authors: Liu, Yihui, Aickelin, Uwe
Format: Article
Language:English
Published: MECS Publisher 2014
Subjects:
Online Access:https://eprints.nottingham.ac.uk/3351/
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author Liu, Yihui
Aickelin, Uwe
author_facet Liu, Yihui
Aickelin, Uwe
author_sort Liu, Yihui
building Nottingham Research Data Repository
collection Online Access
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format Article
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institution University of Nottingham Malaysia Campus
institution_category Local University
language English
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publishDate 2014
publisher MECS Publisher
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spelling nottingham-33512017-10-14T16:12:57Z https://eprints.nottingham.ac.uk/3351/ Feature selection in detection of adverse drug reactions from the Health Improvement Network (THIN) database Liu, Yihui Aickelin, Uwe MECS Publisher 2014-08 Article PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/3351/1/thin_yihui.pdf Liu, Yihui and Aickelin, Uwe (2014) Feature selection in detection of adverse drug reactions from the Health Improvement Network (THIN) database. International Journal of Information Technology and Computer Science (IJITCS) . ISSN 2074-9015 Biomedical Informatics Data Mining
spellingShingle Biomedical Informatics
Data Mining
Liu, Yihui
Aickelin, Uwe
Feature selection in detection of adverse drug reactions from the Health Improvement Network (THIN) database
title Feature selection in detection of adverse drug reactions from the Health Improvement Network (THIN) database
title_full Feature selection in detection of adverse drug reactions from the Health Improvement Network (THIN) database
title_fullStr Feature selection in detection of adverse drug reactions from the Health Improvement Network (THIN) database
title_full_unstemmed Feature selection in detection of adverse drug reactions from the Health Improvement Network (THIN) database
title_short Feature selection in detection of adverse drug reactions from the Health Improvement Network (THIN) database
title_sort feature selection in detection of adverse drug reactions from the health improvement network (thin) database
topic Biomedical Informatics
Data Mining
url https://eprints.nottingham.ac.uk/3351/