Association rules method and big data: Evaluating frequent medication combinations associated with fractures in older adults-Reference-Cited by-同舟云学术

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Association rules method and big data: Evaluating frequent medication combinations associated with fractures in older adults

Published:2018-04-02 Issue:10 Volume:27 Page:1123-1130
ISSN:1053-8569
Container-title:Pharmacoepidemiology and Drug Safety
language:en
Short-container-title:Pharmacoepidemiol Drug Saf

Author:

Nishtala Prasad S.¹^ORCID,Chyou Te-yuan¹,Held Fabian²,Le Couteur David G.³⁴,Gnjidic Danijela²⁴^ORCID

Affiliation:

1. School of Pharmacy; University of Otago; Dunedin Otago New Zealand

2. Charles Perkins Centre; University of Sydney; Sydney NSW Australia

3. Centre for Education and Research on Ageing, Ageing and Alzheimers Institute, Concord Hospital; The University of Sydney; Sydney NSW Australia

4. Faculty of Pharmacy; The University of Sydney; Sydney NSW Australia

Funder

the Australian National Health and Medical Research Council Dementia Leadership Fellowship

Publisher

Wiley

Subject

Pharmacology (medical),Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/pds.4432/fullpdf

Reference37 articles.

1. Mining association rules between sets of items in large databases;Agrawal;SIGMOD Rec,1993

2. Network analysis of drug prescriptions;Cavallo;Pharmacoepidemiol Drug Saf,2013

3. Reducing complexity: a visualisation of multimorbidity by combining disease clusters and triads;Schafer;BMC Public Health,2014

4. Identifying combinatorial biomarkers by association rule mining in the CAMD Alzheimer's database;Szalkai;Arch Gerontol Geriatr,2017

5. Association rules analysis of comorbidity and multimorbidity: the Concord Health and Aging in Men Project;Held;J Gerontol A Biol Sci Med Sci,2016

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