Print this Page

Publications

Journals

Veronin, M., Schumaker, R., Dixit, R. and Elath, H., (2019). Opioids and Frequency Counts in the US Food and Drug Administration Adverse Event Reporting System (FAERS) Database: A Quantitative View of the Epidemic. Drug; Healthcare and Patient Safety. 2019(11):65:70

Reganti, K., Kuruvella, R., Syamala, S. and Schumaker, R., (2014). An Evaluation of EHR and the Barriers to Adoption by Small Medical Practices . International Journal of Privacy and Health Information Management. 2(2):57-71

Conferences

Veronin, M., Schumaker, R., Dixit, R. and Ogwo, M., (2018). Irony of the FAERS Database: An Analysis of Data Input Errors and Potential Consequences. 29th Annual Conference of the International Information Management Association (IIMA-2018). October 2018. Houston, TX

Dixit, R., Schumaker, R. and Veronin, M., (2018). A Decision Tree Analysis of Opiod and Prescription Drug Interactions Leading to Death Using the FAERS Database. 29th Annual Conference of the International Information Management Association (IIMA-2018). October 2018. Houston, TX

Elath, H., Schumaker, R. and Veronin, M., (2018). Predicting Deadly Drug Combinations through a Machine Learning Approach. Pacific Asia Conference on Information Systems (PACIS-2018). June 2018. Yokohama, Japan

Schumaker, R., Veronin, M., Dixit, R., Dhake, P. and Mason, D., (2017). Calculating a Severity Score of an Adverse Drug Reaction Using SVR on the FAERS Database. 28th Annual Conference of the International Information Management Association (IIMA-2017). September 2017. Glasgow, Scotland

Book Chapters

Schumaker, R. and Reganti, R., (2016). “Implementation of Electronic Health Record (HER) System in the Healthcare Industry,” in Information Resources Management Association, E-Health and Telemedicine: Concepts; Methodologies; Tools; and Applications, pp 1001-1016 Hershey; PA- IGI Global

Posters and Demonstrations

Prasun, P., Schumaker, R. and Veronin, M., (2019). Individual vs Combination Drug Effects Using FAERS Database. Fourth Annual Research Lyceum at the University of Texas at Tyler, April 2019. Tyler, TX.

Cisneros, E., Schumaker, R. and Veronin, M., (2019). Discovering Safer Drug Combination Alternatives Using FAERS. Fourth Annual Research Lyceum at the University of Texas at Tyler, April 2019. Tyler, TX.

Ogwo, M., Dixit, R., Schumaker, R. and Veronin, M., (2018). Deaths Associated with Opioids Reported in the FAERS Database. Third Annual Research Lyceum at the University of Texas at Tyler, April 2018. Tyler, TX.

Mason, D., Schumaker, R., Veronin, M., Dixit, R., Dhake, P., Elath, H. and Scoggins, A., (2018). Standardizing the FDA Adverse Reporting System (FAERS) Database. Third Annual Research Lyceum at the University of Texas at Tyler, April 2018. Tyler, TX.

Dixit, R., Schumaker, R., Veronin, M. and Dhake, P., (2018). A Decision Tree Analysis of Opiod and Prescription Drug Interactions Leading to Death Using the FAERS Database. Third Annual Research Lyceum at the University of Texas at Tyler, April 2018. Tyler, TX.

Ogwo, M., Dixit, R., Schumaker, R. and Veronin, M., (2018). Deaths Associated with Opioids Reported in the FAERS Database. American Society of Health-System Pharmacists Midyear Clinical Meeting and Exhibition, December 2018. Anaheim, CA.

Mason, D., Schumaker, R., Veronin, M., Dixit, R., Dhake, P., Elath, H. and Scoggins, A., (2017). Standardizing the FDA Adverse Reporting System (FAERS) Database. 52nd National Collegiate Honors Council Annual Conference, November 2017. Atlanta, GA.

Under Review

Veronin, M., Schumaker, R., Dixit, R., Dhake, P., Mason, D. and Ogwo, M., A Systematic Approach to Cleaning of Drug Name Records in the FAERS Database. International Journal of Big Data Management.

Veronin, M. and Schumaker, R., Opioid Adjunct Drug Therapy: Evaluating Effectiveness Using Text Analytics of Real World Data. International Information Management Association (IIMA-2019).

Veronin, M., Schumaker, R., Dixit, R. and Ogwo, M., The Irony of MedWatch and the FAERS Database: An Analysis of Input Errors and Potential Consequences. Communications of the International Information Management Association.

Papers In Progress

Schumaker, R., Veronin, M. and Dixit, R., Machine Learning the FAERS Database to Predict Unknown Deadly Drug Combinations. ACM Transactions on Information Systems.

Schumaker, R., Veronin, M. and Dixit, R., An Automatic System to Identify Adverse Drug Reaction Severity for n-Drug Combinations. Data Mining and Knowledge Discovery.

Schumaker, R., Veronin, M. and Dixit, R., Predicting Adverse n-Drug Reactions in Cardiovascular Events: A Machine Learning Investigation of the FAERS Database. Journal of Biomedical Informatics.

Permanent link to this article: http://robschumaker.com/pubs/