Pestian Lab

Cohen KB, Glass B, Greiner HM, Holland-Bouley K, Standridge S, Arya R, Faist R, Morita D, Mangano F, Connolly B, Glauser T, Pestian J. Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates Through Natural Language Processing and Machine Learning. Biomed Inform Insights. 2016;8:11–18.

Pestian JP, Sorter M, Cohen KB, McCullumsmith C, Gee JT, Morency LP, Scherer S, Rohlfs L for the STM Research Group. A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial. Suicide, and Life Threatening Behavior. 3 November 2016.

Connolly B, Glass B, Pestian J. An Information Foraging Approach to Determining the Number of Relevant Features, Association for Computational Linguistics. BioNLP Berlin. Aug 2016.

Connolly B, Miller T, Ni Y, Cohen KB, Savova G, Dexheimer JW, Pestian J. Natural Language Processing – Overview and History. In: Hutton JJ (Ed). Pediatric Biomedical Informatics: Computer Applications in Pediatric Research, 2nd edition. New York: Springer; 2016.

Savova G, Pestian J, Connolly B, Miller T, Ni Y, Dexheimer JW. Natural Language Processing: Applications in Pediatric Research. In Hutton JJ (Ed). Pediatric Biomedical Informatics: Computer Applications in Pediatric Research, 2nd edition. New York: Springer; 2016.

Pestian J, Matykiewicz P, Duch W, Glauser T, Kowatch RA, Grupp-Phelan J. (2015). U.S. Patent No. 8,930,178. Washington, DC: Processing text with domain-specific spreading activation methods. U.S. Patent and Trademark Office.

Scherer S, Morency LP, Gratch J, Pestian J. (2015, April). Reduced vowel space is a robust indicator of psychological distress: a cross-corpus analysis. In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on (pp. 4789-4793). IEEE. 

Shinnar S, Cnaan A, Hu F, Clark P, Dlugos D, Hirtz DG, ... & Abram H. (2015). Long-term outcomes of generalized tonic-clonic seizures in a childhood absence epilepsy trial. Neurology, 85(13), 1108-1114.

Pestian JP, Grupp‐Phelan J, Bretonnel Cohen K, Meyers G, Richey LA, Matykiewicz P, Sorter MT. (2015). A controlled trial using natural language processing to examine the language of suicidal adolescents in the emergency department. Suicide and life-threatening behavior.

Fernandez, I. S., Abend, N. S., Agadi, S., An, S., Arya, R., Carpenter, J. L., ... & Goldstein, J. L. (2014). Gaps and opportunities in refractory status epilepticus research in children: a multi-center approach by the Pediatric Status Epilepticus Research Group (pSERG). Seizure, 23(2), 87-97.

Venek, V., Scherer, S., Morency, L. P., Rizzo, A., & Pestian, J. (2014, December). Adolescent suicidal risk assessment in clinician-patient interaction: A study of verbal and acoustic behaviors. In Spoken Language Technology Workshop (SLT), 2014 IEEE (pp. 277-282). IEEE.

Connolly, B., Matykiewicz, P., Cohen, K. B., Standridge, S. M., Glauser, T. A., Dlugos, D. J., ... & Pestian, J. (2014). Assessing the similarity of surface linguistic features related to epilepsy across pediatric hospitals. Journal of the American Medical Informatics Association, 21(5), 866-870.

Connolly, B., Faist, R., West, C., Holland, K. D., Matykiewicz, P., Glauser, T. A., & Pestian, J. (2014). A Statistical Approach for Visualizing the Quality of Multi-Hospital Data. Visible Language, 48(3), 68.

Standridge, S., Faist, R., Pestian, J., Glauser, T., & Ittenbach, R. (2014). The Reliability of an Epilepsy Treatment Clinical Decision Support System. Journal of medical systems, 38(10), 1-6.

Pestian, J. P., Matykiewicz, P., Duch, W., Glauser, T. A., Kowatch, R. A., & Grupp-Phelan, J. M. (2014). Processing Text with Domain-Specific Spreading Activation Methods. U.S. Patent Application No. 14/553,562.

Scherer, S., Pestian, J., & Morency, L. P. (2013, May).  Investigating the speech characteristics of suicidal adolescents. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on (pp. 709-713). IEEE.

Pestian, J., Matykiewicz, P., Holland‐Bouley, K., Standridge, S., Spencer, M., & Glauser, T. (2013). Selecting anti‐epileptic drugs: a pediatric epileptologist's view, a computer's view. Acta neurologica Scandinavica,127(3), 208-215.

Matykiewicz, P., Cohen, K. B., Holland, K. D., Glauser, T. A., Standridge, S. M., Verspoor, K. M., & Pestian, J. (2013). Earlier Identification of Epilepsy Surgery Candidates Using Natural Language Processing. ACL 2013, 1.

Glauser, T. A., Wenstrup, R. J., Vinks, A. A., & Pestian, J. (2013). Optimization and individualization of medication selection and dosing. U.S. Patent No. 8,589,175. Washington, DC: U.S. Patent and Trademark Office.

Pestian, J. P. (2013). Computational semantics in clinical text supplement. Biomedical informatics insights, 6(Suppl 1), 1.

Glauser, T. A., Wenstrup, R. J., Vinks, A. A., & Pestian, J. (2013). Optimization and individualization of medication selection and dosing. U.S. Patent Application No. 14/053,220.

Pestian, J. P., Brew, C., Matykiewicz, P., Hovermale, D. J., Johnson, N., Cohen, K. B., & Duch, W. (2007, June). A shared task involving multi-label classification of clinical free text. In Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing (pp. 97-104). Association for Computational Linguistics.

Pestian, J. P., Matykiewicz, P., Linn-Gust, M., South, B., Uzuner, O., Wiebe, J., ... & Brew, C. (2012). Sentiment analysis of suicide notes: A shared task. Biomedical informatics insights, 5(Suppl. 1), 3.

Pestian, J., Nasrallah, H., Matykiewicz, P., Bennett, A., & Leenaars, A. (2010). Suicide note classification using natural language processing: A content analysis. Biomedical informatics insights, 2010(3), 19.

Duch, W., Matykiewicz, P., & Pestian, J. (2008). Neurolinguistic approach to natural language processing with applications to medical text analysis. Neural Networks, 21(10), 1500-1510.

Pestian, J. P., Matykiewicz, P., & Grupp-Phelan, J. (2008, June). Using natural language processing to classify suicide notes. In Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing(pp. 96-97). Association for Computational Linguistics.

Matykiewicz, P., Duch, W., & Pestian, J. (2009, June). Clustering semantic spaces of suicide notes and news groups articles. In Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing(pp. 179-184). Association for Computational Linguistics.

Pestian, J. P., Matykiewicz, P., & Linn-Gust, M. (2012). What’s in a note: construction of a suicide note corpus. Biomedical informatics insights, 5, 1.