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; Glauser, T; Pestian, J. 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.

Sullivan, KA; Lane, M; Cashman, M; Miller, JI; Pavicic, M; Walker, AM; Cliff, A; Romero, J; Qin, X; Mullins, N; Oslin, DW; Kimbrel, NA; Jacobson, DA; Kainer, D. Analyses of GWAS signal using GRIN identify additional genes contributing to suicidal behavior. Communications Biology. 2024; 7:1360.

Dhaubhadel, S; Ganguly, K; Ribeiro, RM; Cohn, JD; Hyman, JM; Hengartner, NW; Kolade, B; Singley, A; Bhattacharya, T; Finley, P; Yang, R; Yoo, S; Zhao, H; McMahon, BH. High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning. Scientific Reports. 2024; 14:1793.

Wissel, BD; Greiner, HM; Glauser, TA; Pestian, JP; Ficker, DM; Cavitt, JL; Estofan, L; Holland-Bouley, KD; Mangano, FT; Szczesniak, RD; Dexheimer, JW. Early Identification of Candidates for Epilepsy Surgery: A Multicenter, Machine Learning, Prospective Validation Study. Neurology. 2024; 102:e208048.

Sorter, M; Stark, LJ; Glauser, T; McClure, J; Pestian, J; Junger, K; Cheng, TL. Addressing the Pediatric Mental Health Crisis: Moving from a Reactive to a Proactive System of Care. The Journal of Pediatrics. 2024; 265:113479.

Pavicic, M; Walker, AM; Sullivan, KA; Lagergren, J; Cliff, A; Romero, J; Streich, J; Garvin, MR; Pestian, J; McMahon, B; Oslin, DW; Beckham, JC; Kimbrel, NA; Jacobson, DA. Using iterative random forest to find geospatial environmental and Sociodemographic predictors of suicide attempts. Frontiers in Psychiatry. 2023; 14:1178633.

Warner, EN; Ammerman, RT; Glauser, TA; Pestian, JP; Agasthya, G; Strawn, JR. Developmental Epidemiology of Pediatric Anxiety Disorders. Child and Adolescent Psychiatric Clinics of North America. 2023; 32:511-530.

Wissel, BD; Greiner, HM; Glauser, TA; Mangano, FT; Holland-Bouley, KD; Zhang, N; Szczesniak, RD; Santel, D; Pestian, JP; Dexheimer, JW. Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled trial. Epilepsia. 2023; 64:1791-1799.

Shamimul Hasan, SM; Agasthya, G; Santel, D; Bhatnagar, S; Goethert, I; Glauser, T; Pestian, J. (2023) Application of Unified Medical Language System (UMLS) to Standardize Pediatric Drug Data. Institute of Electrical and Electronics Engineers (IEEE). 00:753-755.

Kimbrel, NA; Ashley-Koch, AE; Qin, XJ; Lindquist, JH; Garrett, ME; Dennis, MF; Hair, LP; Huffman, JE; Jacobson, DA; Madduri, RK; Beckham, JC; Hauser, ER; Hauser, MA; Million Veteran Program Suicide Exemplar Workgroup, . Identification of Novel, Replicable Genetic Risk Loci for Suicidal Thoughts and Behaviors Among US Military Veterans. JAMA Psychiatry. 2023; 80:135-145.

Kanbar, LJ; Wissel, B; Ni, Y; Pajor, N; Glauser, T; Pestian, J; Dexheimer, JW. Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study. JMIR Medical Informatics. 2022; 10:e37833.

Bayram, U; Lee, W; Santel, D; Minai, AA; Clark, PO; Glauser, T; Pestian, J. Toward Suicidal Ideation Detection with Lexical Network Features and Machine Learning. 2022; 4.

Mullins, N; Kang, JE; Campos, AI; Coleman, JR I; Edwards, AC; Galfalvy, H; Levey, DF; Lori, A; Shabalin, A; Starnawska, A; Boehnke, M; Boks, MP; Bosch, R; Braff, DL. Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors. Biological Psychiatry. 2022; 91:313-327.

Wissel, BD; Greiner, HM; Glauser, TA; Pestian, JP; Kemme, AJ; Santel, D; Ficker, DM; Mangano, FT; Szczesniak, RD; Dexheimer, JW. Early identification of epilepsy surgery candidates: A multicenter, machine learning study. Acta Neurologica Scandinavica. 2021; 144:41-50.

Wolfe, C; Pestian, T; Gecili, E; Su, W; Keogh, RH; Pestian, JP; Seid, M; Diggle, PJ; Ziady, A; Clancy, JP; Grossoehme, DH; Szczesniak, RD; Brokamp, C. Cystic Fibrosis Point of Personalized Detection (CFPOPD): An Interactive Web Application. JMIR Medical Informatics. 2020; 8:e23530.

Cohen, J; Wright-Berryman, J; Rohlfs, L; Wright, D; Campbell, M; Gingrich, D; Santel, D; Pestian, J. A Feasibility Study Using a Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in Adolescent Therapy Sessions. International Journal of Environmental Research and Public Health. 2020; 17:E8187.

Pestian, J; Santel, D; Sorter, M; Bayram, U; Connolly, B; Glauser, T; DelBello, M; Tamang, S; Cohen, K. A Machine Learning Approach to Identifying Changes in Suicidal Language. Suicide and Life-Threatening Behavior. 2020; 50:939-947.

Dexheimer, J; Wissel, BD; Greiner, H; Glauser, T; Mangano, F; Santel, D; Pestian, J; Szczesniak, R. Investigation of Racial Bias in an Epilepsy Machine Learning Algorithm Trained on Physician Notes. Pediatrics. 2020; 146:14-15.

Glauser, T; Santel, D; DelBello, M; Faist, R; Toon, T; Clark, P; McCourt, R; Wissel, B; Pestian, J. Identifying epilepsy psychiatric comorbidities with machine learning. Acta Neurologica Scandinavica. 2020; 141:388-396.

Szczesniak, RD; Su, W; Brokamp, C; Keogh, RH; Pestian, JP; Seid, M; Diggle, PJ; Clancy, JP. Dynamic predictive probabilities to monitor rapid cystic fibrosis disease progression. Statistics in Medicine. 2020; 39:740-756.

Wissel, BD; Greiner, HM; Glauser, TA; Holland-Bouley, KD; Mangano, FT; Santel, D; Faist, R; Zhang, N; Pestian, JP; Szczesniak, RD; Dexheimer, JW. Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery. Epilepsia. 2020; 61:39-48.