Pestian Lab

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.

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; et al. Cystic Fibrosis Point of Personalized Detection (CFPOPD): An Interactive Web Application. JMIR Medical Informatics. 2020; 8.

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.

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.

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; et al. Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery. Epilepsia. 2020; 61:39-48.

Wissel, BD; Greiner, HM; Glauser, TA; Mangano, FT; Santel, D; Pestian, JP; Szczesniak, RD; Dexheimer, JW. Investigation of bias in an epilepsy machine learning algorithm trained on physician notes. Epilepsia. 2019; 60:e93-e98.

Bayram, U; Pestian, J; Santel, D; Minai, AA; IEEE, . (2019) What’s in a Word? Detecting Partisan Affiliation from Word Use in Congressional Speeches. 00:1-8.

Ramsey, LB; Prows, CA; Zhang, K; Saldana, SN; Sorter, MT; Pestian, JP; Wenstrup, RJ; Vinks, AA; Glauser, TA. Implementation of Pharmacogenetics at Cincinnati Children's Hospital Medical Center: Lessons Learned Over 14 Years of Personalizing Medicine. Clinical Pharmacology and Therapeutics. 2019; 105:49-52.

Szczesniak, RD; Brokamp, C; Su, W; Mcphail, GL; Pestian, J; Clancy, JP. Improving Detection of Rapid Cystic Fibrosis Disease Progression-Early Translation of a Predictive Algorithm Into a Point-of-Care Tool. IEEE Journal of Translational Engineering in Health and Medicine. 2019; 7.

Pestian, J; Santel, D; Sorter, M; Bayram, U; Connolly, B; Glauser, T; DelBello, M; Tamang, S; Cohen, K. A Machine Learning Approach to Identifying Future Suicide Risk. 2018.

Bayram, U; Minai, AA; Pestian, J. A Lexical Network Approach for Identifying Suicidal Ideation in Clinical Interview Transcripts. Unifying Themes in Complex Systems IX. 2018.

Eigbe, N; Baltrusaitis, T; Morency, L; Pestian, J; IEEE, . (2018) Toward Visual Behavior Markers of Suicidal Ideation. 530-534.

Szczesniak, R; Brokamp, C; Su, W; McPhail, GL; Pestian, J; Clancy, JP; IEEE, . Early Detection of Rapid Cystic Fibrosis Disease Progression Tailored to Point of Care: A Proof-of-Principle Study. 2017; 2017:204-207.

Connolly, B; Cohen, KB; Santel, D; Bayram, U; Pestian, J. A nonparametric Bayesian method of translating machine learning scores to probabilities in clinical decision support. BMC Bioinformatics. 2017; 18.

Szczesniak, RD; Li, D; Su, W; Brokamp, C; Pestian, J; Seid, M; Clancy, JP. Phenotypes of Rapid Cystic Fibrosis Lung Disease Progression during Adolescence and Young Adulthood. American Journal of Respiratory and Critical Care Medicine. 2017; 196:471-478.

Laksana, E; Baltrusaitis, T; Morency, L; Pestian, JP; IEEE, . (2017) Investigating Facial Behavior Indicators of Suicidal Ideation. 770-777.

Venek, V; Scherer, S; Morency, L; Rizzo, AS; Pestian, J. Adolescent Suicidal Risk Assessment in Clinician-Patient Interaction. IEEE Transactions on Affective Computing. 2017; 8:204-215.

Glauser, TA; Holland, K; O'Brien, VP; Keddache, M; Martin, LJ; Clark, PO; Cnaan, A; Dlugos, D; Hirtz, DG; Shinnar, S; et al. Pharmacogenetics of antiepileptic drug efficacy in childhood absence epilepsy. Annals of Neurology. 2017; 81:444-453.

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.