Publications

Publications

University of Texas at Tyler

Home  |  Research  |  Publications  | People

Below are some of the publications generated by the Data Analytics Lab:

Journals

Schumaker, R., Labedz Jr., C., Jarmoszko, A.T., Brown, L., (2017). Prediction from Regional Angst - A Study of NFL Sentiment in Twitter Using Stock Market Charting. Decision Support Systems. 98(6):80-88.

Schumaker, R., Jarmoszko, A. T. and Labedz Jr., C., (2016). Predicting Wins and Spread in the Premier League Using a Sentiment Analysis of Twitter. Decision Support Systems. 88(8):76-84

Conferences 

Dixit, R., Schumaker, R. and Veronin, M., (2018). A Decision Tree Analysis of Opioid 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

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

Elath, H., Dixit, R., 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 Event Using Machine Learning on the FAERS Database. 28th Annual Conference of the International Information Management Association (IIMA-2017). September 2017. Glasgow, Scotland

Schumaker, R., Brown, L., Labedz Jr., C. and Jarmoszko, A.T., (2017). Using Financial Analysis Techniques on Twitter Sentiment to Improve NFL Predictions. Discourse Approaches to Financial Communication (DAFC-2017), July 2017. Lugano, Switzerland

Nail, M., Ugone, C., King, C., Schumaker, R. and Conn, M.E., (2016). Predicting Opening Weekend Box Office Success: Using Social Media Sentiment and YouTube Data. 27th Annual Conference of the International Information Management Association. September 2016. Taipei, Taiwan

Lopez, H., Perkins, M., Odin, K., Webb, D. and Schumaker, R., (2016). Prediction from Fanbase Opinions – A Study of the League of Legends Community on Twitter. 27th Annual Conference of the International Information Management Association. September 2016. Taipei, Taiwan

Spillman, J., Bustamante, G., Hopkins, T. and Schumaker, R., (2016). Predicting the Outcomes of the 2016 NCAA March Madness Mens Tournament Brackets – A Study of Fan Twitter Sentiment. 27th Annual Conference of the International Information Management Association. September 2016. Taipei, Taiwan

Maida, N. and Schumaker, R., (2015). Press Release Engineering – Leveraging the Power of Press Releases to Manage Stock Price. 26th Annual Conference of the International Information Management Association (IIMA-2015). October 2015. Chattanooga, TN

Book Chapters

Schumaker, R. and Reganti, R., (2016). “Implementation of Electronic Health Record (EHR) 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

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 Opioid 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.

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 (NCHC-2017). November 2017. Atlanta, GA

Supporting Online Materials

The Irony of MedWatch and the FAERS Database: An Analysis of Input Errors and Potential Consequences