Medicine and Health Sciences Commons^™

Development Of An Adverse Drug Reaction Corpus From Consumer Health Posts, Maryam Zolnoori, Timothy B. Patrick, Kin Wah Fung, Anthony Faiola, Yi Shuan Shirley Wu, Jiaxi Zhu, Christina Eldredge

School of Information Faculty Publications

UWM-Adverse Drug Events Corpus (UWM-ADEC) is an annotated corpus that has been developed from consumer drug review posts in social media. In this corpus, we identified four types of Adverse Drug Reactions (ADRs) including physiological, psychological, cognitive, and functional problems. Additionally, we mapped the ADRs to corresponding concepts in Unified medical language Systems (UMLS). The quality of the corpus was measured using well-defined guidelines, double coding, high inter-annotator agreement, and final reviews by pharmacists and clinical terminologists. This corpus is a valuable source for research in the area of text mining and machine learning for ADRs identifications from consumer health …

Characterization Of The Mechanism Of Drug-Drug Interactions From Pubmed Using Mesh Terms, Yin Lu, Bryan Figler, Hong Huang, Yi-Cheng Tu, Ju Wang, Feng Cheng

School of Information Faculty Publications

Identifying drug-drug interaction (DDI) is an important topic for the development of safe pharmaceutical drugs and for the optimization of multidrug regimens for complex diseases such as cancer and HIV. There have been about 150,000 publications on DDIs in PubMed, which is a great resource for DDI studies. In this paper, we introduced an automatic computational method for the systematic analysis of the mechanism of DDIs using MeSH (Medical Subject Headings) terms from PubMed literature. MeSH term is a controlled vocabulary thesaurus developed by the National Library of Medicine for indexing and annotating articles. Our method can effectively identify DDI-relevant …

Population Analysis Of Adverse Events In Different Age Groups Using Big Clinical Trials Data, Jake Luo, Christina Eldredge, Chi C. Cho, Ron A. Cisler

School of Information Faculty Publications

BACKGROUND: Understanding adverse event patterns in clinical studies across populations is important for patient safety and protection in clinical trials as well as for developing appropriate drug therapies, procedures, and treatment plans.

OBJECTIVES: The objective of our study was to conduct a data-driven population-based analysis to estimate the incidence, diversity, and association patterns of adverse events by age of the clinical trials patients and participants.

METHODS: Two aspects of adverse event patterns were measured: (1) the adverse event incidence rate in each of the patient age groups and (2) the diversity of adverse events defined as distinct types of adverse …

Reengineering Of Mesh Thesauri For Term Selection To Optimize Literature Retrieval And Knowledge Reconstruction In Support Of Stem Cell Research, Yan Su, James E. Andrews, Hong Huang, Yue Wang, Liangliang Kong, Peter Cannon, Ping Xu

School of Information Faculty Publications

BACKGROUND: PubMed is a widely used database for scientists to find biomedical-related literature. Due to the complexity of the selected research subject and its interdisciplinary nature, as well as the exponential growth in the number of disparate pieces of biomedical literature, it is an overwhelming challenge for scientists to define the right search strategies and quickly locate all related information. Specialized subsets and groupings of controlled vocabularies, such as Medical Subject Headings (MeSH), can enhance information retrieval in specialized domains, such as stem cell research. There is a need to develop effective search strategies and convenient solutions for knowledge organization …

A Comparative Effectiveness Meta-Analysis Of Drugs For The Prophylaxis Of Migraine Headache, Jeffrey L. Jackson, Elizabeth Cogbill, Rafael Santana-Davila, Christina Eldredge, William Collier, Andrew Gradall, Neha Sehgal, Jessica Kuester

School of Information Faculty Publications

OBJECTIVE: To compare the effectiveness and side effects of migraine prophylactic medications.

DESIGN: We performed a network meta-analysis. Data were extracted independently in duplicate and quality was assessed using both the JADAD and Cochrane Risk of Bias instruments. Data were pooled and network meta-analysis performed using random effects models.

DATA SOURCES: PUBMED, EMBASE, Cochrane Trial Registry, bibliography of retrieved articles through 18 May 2014.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES: We included randomized controlled trials of adults with migraine headaches of at least 4 weeks in duration.

RESULTS: Placebo controlled trials included alpha blockers (n = 9), angiotensin converting enzyme inhibitors …

A Novel Algorithm For Analyzing Drug-Drug Interactions From Medline Literature, Yin Lu, Dan Shen, Maxwell Pietsch, Chetan Nagar, Zayd Fadli, Hong Huang, Yi-Cheng Tu, Feng Chen

School of Information Faculty Publications

Drug-drug interaction (DDI) is becoming a serious clinical safety issue as the use of multiple medications becomes more common. Searching the MEDLINE database for journal articles related to DDI produces over 330,000 results. It is impossible to read and summarize these references manually. As the volume of biomedical reference in the MEDLINE database continues to expand at a rapid pace, automatic identification of DDIs from literature is becoming increasingly important. In this article, we present a random-sampling-based statistical algorithm to identify possible DDIs and the underlying mechanism from the substances field of MEDLINE records. The substances terms are essentially carriers …

N-Glycosylation Dictates Proper Processing Of Organic Anion Transporting Polypeptide 1b1, Juan Yao, Weifang Hong, Jiujiu Huang, Kai Zhan, Hong Huang, Mei Hong

School of Information Faculty Publications

Organic anion transporting polypeptides (OATPs) have been extensively recognized as key determinants of absorption, distribution, metabolism and excretion (ADME) of various drugs, xenobiotics and toxins. Putative N-glycosylation sites located in the extracellular loops 2 and 5 is considered a common feature of all OATPs and some members have been demonstrated to be glycosylated proteins. However, experimental evidence is still lacking on how such a post-translational modification affect the transport activity of OATPs and which of the putative glycosylation sites are utilized in these transporter proteins. In the present study, we substituted asparagine residues that are possibly involved in N-glycosylation with …

Using Health Information Technology To Engage Communities In Health, Education, And Research, Lisa K. Marriott, David A. Nelson, Shauntice Allen, Karen Calhoun, Christina Eldredge, Kim S. Kimminau, Robert J. Lucero, Fernando Pineda-Reyes, Bernice B. Rumala, Arti P. Varanasi, June S. Wasser, Jackilen Shannon

School of Information Faculty Publications

The August 2011 Clinical and Translational Science Awards conference "Using IT to Improve Community Health: How Health Care Reform Supports Innovation" convened four "Think Tank" sessions. Thirty individuals, representing various perspectives on community engagement, attended the "Health information technology (HIT) as a resource to improve community health and education" session, which focused on using HIT to improve patient health, education, and research involvement. Participants discussed a range of topics using a semistructured format. This article describes themes and lessons that emerged from that session, with a particular focus on using HIT to engage communities to improve health and reduce health …