Publications

Developing Timely Insights on Comparative Effectiveness Research with a Text Mining Pipeline

Chang M, Chang M, Reed JZ, Milward D, Xu JJ, Cornell WD

Drug Discov Today. 2016 Mar; 21(3):473-80

PMID: 26854423

http://www.sciencedirect.com/science/article/pii/S1359644616000325

Abstract

Comparative effectiveness research (CER) provides evidence for the relative effectiveness and risks of different treatment options and informs decisions made by healthcare providers, payers, and pharmaceutical companies.


Co-prescription trends in a large cohort of subjects predict substantial drug-drug interactions

Sutherland JJ, Daly TM, Liu X, Goldstein K, Johnston JA, Ryan TP

PLoS One. 2015 Mar 4; 10(3):e0118991

PMID: 25739022

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4349653/


Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2

Stubbs A, Kotfila C, Xu H, Uzuner Ö

J Biomed Inform. 2015 Dec; 58 Suppl:S67-77

PMID: 26210362

http://www.sciencedirect.com/science/article/pii/S1532046415001409

Abstract

The second track of the 2014 i2b2/UTHealth natural language processing shared task focused on identifying medical risk factors related to Coronary Artery Disease (CAD) in the narratives of longitudinal medical records of diabetic patients.


Biocuration with insufficient resources and fixed timelines

Rodriguez-Esteban, R

Database (Oxford). 2015 Dec; bav113: pp1-9

PMID: 26708987

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4691339/

Abstract

Biological curation, or biocuration, is often studied from the perspective of creating and maintaining databases that have the goal of mapping and tracking certain areas of biology.