Conducting Groundbreaking Research for 20+ Years
Our scientists have been conducting groundbreaking research for more than 20 years and their findings have been published in dozens of top journals. Learn more about their most significant publications.
Most Significant Publications of 2023
Warner EN, Ammerman RT, Glauser TA, Pestian JP, Agasthya G, Strawn JR. Developmental Epidemiology of Pediatric Anxiety Disorders. Child Adolesc Psychiatr Clin N Am. 2023 Jul;32(3):511-530. doi: 10.1016/j.chc.2023.02.001. Epub 2023 Mar 21. PMID: 37201964.
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. J Pediatr. 2023 May 13:113479. doi: 10.1016/j.jpeds.2023.113479. Epub ahead of print. PMID: 37182659; PMCID: PMC10181869.
Cheng TL, Glauser TA, Reed A; Pediatric Policy Council. The evolving model of pediatric research. Pediatr Res. 2023 Aug;94(2):412-415. doi: 10.1038/s41390-023-02677-0. Epub 2023 Jul 3. PMID: 37400540.
Most Significant Publications of All Time
Bayram, U; Lee, W; Santel, D; Minai, A; Clark, P; Glauser, T; Pestian, J. Toward Suicidal Ideation Detection with Lexical Network Features and Machine Learning. NEJCS. 2022; Vol 4, 1.
Kanbar, L; Wissel, B; Ni, Y; Pajor, N; Glauser, T; Pestian, J; Dexheimer, J. Implementation of Machine Learning Pipelines for Clinical Practice (Preprint). 2022; 10.2196/preprints.37833.
Pavicic, M; Walker, A; Sullivan, K; Lagergren, J; Cliff, A; Romero, J; Streich, J; Garvin, M; Pestian, J; McMahon, B; Oslin, D; Beckham, J; Kimbrel, N; Jacobson, D. Using Explainable-AI to Find Geospatial Environmental and Sociodemographic Predictors of Suicide Attempts. 2022; 10.1101/2022.04.26.22274333.
Pestian, J; Brew, C; Matykiewicz, P; Hovermale, DJ; Johnson, N; Cohen, KB. A shared task involving multi-label classification of clinical free text. Proceedings of the 2007 Workshop on Biomedical Natural Language Processing. 2007; 97-104
Pestian, JP; Matykiewicz, P; Linn-Gust, M; South, B; Uzuner, O; Wiebe, J. Sentiment analysis of suicide notes: A shared task. Biomed Inform Insights. 2012; Jan 30;5(Suppl 1):3-16.
Pestian, JP; Matykiewicz, P; Linn-Gust, M. What's in a note: construction of a suicide note corpus. Biomed Inform Insights, 2012;5:1-6.
Duch, W; Matykiewicz, P; Pestian, J. Neurolinguistic approach to natural language processing with applications to medical text analysis. Neural Netw. 2008; Dec;21(10):1500-10.
Scherer, S; Morency, LP; Gratch, J; Pestian, J. Reduced vowel space is a robust indicator of psychological distress: A cross-corpus analysis. 2015 IEEE International Conference on Acoustics, Speech and Signal.
Mullins, N; Kang, JE; Campos, AI; Coleman, JRI; Edwards, AC; Galfalvy, H. Dissecting the shared genetic architecture of suicide attempt, psychiatric disorders, and known risk factors. Biol Psychiatry. 2022; Feb 1;91(3):313-327.
Matykiewicz, P; Pestian, J. Effect of small sample size on text categorization with support vector machines. Proceedings of the 2012 Workshop on Biomedical Natural Language Processing. 2012; 193–201
Pestian, J; Spencer, M; Matykiewicz, P; Zhang, K; Vinks, S; Glauser, T. Personalizing Drug Selection Using Advanced Clinical Decision Support. Biomed Inform Insights. 2009; Jun 23;2:19-29.
Savova, G; Pestian, J; Connolly, B; Miller, T; Ni, Y; Dexheimer, JW. Natural language processing: applications in pediatric research. Pediatric Biomedical Informatics. 2016; 231-250.
Cohen, KB; Glass, B; Greiner, H; Glauser, T; Pestian, J; et al. Methodological issues in predicting pediatric epilepsy surgery candidates through natural language processing and machine learning. Biomed Inform Insights. 2016; May 22;8:11-8
Matykiewicz, P; et al. Earlier identification of epilepsy surgery candidates using natural language processing. Proceedings of the 2013 Workshop on biomedical natural language processing. 2013.
Zender, M; Pestian, JP; Glauser, T. Visual language system for representing medical concepts. Information Design Journal. 2010; 18.3; 184.
