Pestian, John

Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

Mullins, N., Kang, J., Campos, A. I., Coleman, J. R. I., Edwards, A. C., Galfalvy, H., Levey, D. F., Lori, A., Shabalin, A., Starnawska, A., et al. (2022) · Biological Psychiatry

Suicide and Self-Harm StudiesGenetic Associations and Epidemiology

Cited by 238

Evaluating the state of the art in coreference resolution for electronic medical records

Uzuner, O., Bodnari, A., Shen, S., Forbush, T., Pestian, J., & South, B. R. (2012) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesNatural Language Processing Techniques

Cited by 164

Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery

Wissel, B. D., Greiner, H. M., Glauser, T. A., Holland‐Bouley, K. D., Mangano, F. T., Santel, D., Faist, R., Zhang, N., Pestian, J. P., Szczesniak, R. D., et al. (2020) · Epilepsia

Machine Learning in HealthcareEpilepsy research and treatment

Cited by 61

Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study

Kanbar, L. J., Wissel, B., Ni, Y., Pajor, N., Glauser, T., Pestian, J., & Dexheimer, J. W. (2022) · JMIR Medical Informatics

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 30

Dynamic predictive probabilities to monitor rapid cystic fibrosis disease progression

Szczesniak, R. D., Su, W., Brokamp, C., Keogh, R. H., Pestian, J. P., Seid, M., Diggle, P. J., & Clancy, J. P. (2020) · Statistics in Medicine

Cystic Fibrosis Research AdvancesStatistical Methods and Bayesian Inference

Cited by 30

Assessing the similarity of surface linguistic features related to epilepsy across pediatric hospitals

Connolly, B., Matykiewicz, P., Bretonnel Cohen, K., Standridge, S. M., Glauser, T. A., Dlugos, D. J., Koh, S., Tham, E., & Pestian, J. (2014) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 26

Improving detection of rapid cystic fibrosis disease progression–early translation of a predictive algorithm into a point-of-care tool

Szczesniak, R. D., Brokamp, C., Su, W., Mcphail, G. L., Pestian, J., & Clancy, J. P. (2019) · IEEE Journal of Translational Engineering in Health and Medicine

Cystic Fibrosis Research AdvancesArtificial Intelligence in Healthcare

Cited by 15