Translational High-Dimensional Drug Interaction Discovery and Validation Using Health Record Databases and Pharmacokinetics Models-Reference-Cited by-同舟云学术

Translational High-Dimensional Drug Interaction Discovery and Validation Using Health Record Databases and Pharmacokinetics Models

Published:2017-12-11 Issue:2 Volume:103 Page:287-295
ISSN:0009-9236
Container-title:Clinical Pharmacology & Therapeutics
language:en
Short-container-title:Clin. Pharmacol. Ther.

Author:

Chiang Chien-Wei¹,Zhang Pengyue²,Wang Xueying³,Wang Lei²³,Zhang Shijun¹,Ning Xia¹,Shen Li¹,Quinney Sara K.¹,Li Lang²

Affiliation:

1. Center for Computational Biology and Bioinformatics, School of Medicine; Indiana University; Indianapolis Indiana USA

2. Department of Biomedical Informatics, College of Medicine; Ohio State University; Columbus Ohio USA

3. Institute of Intelligent System and Bioinformatics, College of Automation; Harbin Engineering University; Harbin P.R. China

Funder

NIH

NSF

Natural Science Foundation of Heilongjiang Province, China

Fundamental Research Funds for the Central Universities, China

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

Reference50 articles.

1. Predicting drug-drug interactions: an FDA perspective;Zhang;AAPS J.,2009

2. U.S. Department of Health and Human Services FaDA, Center for Drug Evaluation and Research (CDER) Guidance for industry, drug interaction studies-study design, data analysis, implications for dosing, and labeling recommendations

3. Polypharmacy in elderly patients;Hajjar;Am. J. Geriatr. Pharmacother.,2007

4. Prescription drug use continues to increase: U.S. prescription drug data for 2007-2008;Gu;NCHS Data Brief,2010

5. Active tamoxifen metabolite plasma concentrations after coadministration of tamoxifen and the selective serotonin reuptake inhibitor paroxetine;Stearns;J. Natl. Cancer Inst.,2003

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