Pestian, JP; Sorter, M; Connolly, B; Cohen, KB; McCullumsmith, C; Gee, JT; Morency, L; Scherer, S; Rohlfs, L; Grp, ST M R.
A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial.
Suicide and Life-Threatening Behavior.
2017;
47:112-121.
Pestian, JP; Grupp-Phelan, J; Cohen, KB; Meyers, G; Richey, LA; Matykiewicz, P; Sorter, MT.
A Controlled Trial Using Natural Language Processing to Examine the Language of Suicidal Adolescents in the Emergency Department.
Suicide and Life-Threatening Behavior.
2016;
46:154-159.
Cohen, KB; Glass, B; Greiner, HM; Holland-Bouley, K; Standridge, S; Arya, R; Faist, R; Morita, D; Mangano, F; Connolly, B; et al.
Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates Through Natural Language Processing and Machine Learning.
Biomedical Informatics Insights.
2016;
8:11-18.
Connolly, B; Matykiewicz, P; Cohen, KB; Standridge, SM; Glauser, TA; Dlugos, DJ; Koh, S; Tham, E; Pestian, J.
Assessing the similarity of surface linguistic features related to epilepsy across pediatric hospitals.
Journal of the American Medical Informatics Association : JAMIA.
2014;
21:866-870.
Pestian, JP; Matykiewicz, P; Linn-Gust, M; South, B; Uzuner, O; Wiebe, J; Cohen, KB; Hurdle, J; Brew, C.
Sentiment Analysis of Suicide Notes: A Shared Task.
Biomedical Informatics Insights.
2012;
5:3-16.
Qureshi, F; Pestian, J; Davis, P; Zaritsky, A.
Nebulized Ipratropium Decreases Hospitalization Rate of Children with Severe Asthma • 389.
Pediatric Research.
1998;
43:69-69.