Mathis, Michael R.

Biobank-driven genomic discovery yields new insight into atrial fibrillation biology

Nielsen, J. B., Thorolfsdottir, R. B., Fritsche, L. G., Zhou, W., Skov, M. W., Graham, S. E., Herron, T. J., McCarthy, S., Schmidt, E. M., Sveinbjornsson, G., et al. (2018) · Nature Genetics

Cardiac electrophysiology and arrhythmiasAtrial Fibrillation Management and Outcomes

Cited by 876

Prevalence of Preoperative Opioid Use and Characteristics Associated With Opioid Use Among Patients Presenting for Surgery

Hilliard, P. E., Waljee, J., Moser, S., Metz, L., Mathis, M., Goesling, J., Cron, D., Clauw, D. J., Englesbe, M., Abecasis, G., et al. (2018) · JAMA Surgery

Opioid Use Disorder TreatmentPain Management and Opioid Use

Cited by 211

Genome-wide analysis yields new loci associating with aortic valve stenosis

Helgadottir, A., Thorleifsson, G., Gretarsdottir, S., Stefansson, O. A., Tragante, V., Thorolfsdottir, R. B., Jonsdottir, I., Bjornsson, T., Steinthorsdottir, V., Verweij, N., et al. (2018) · Nature Communications

Cardiac Valve Diseases and TreatmentsGenetic Associations and Epidemiology

Cited by 125

Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods

Cummings, B. C., Ansari, S., Motyka, J. R., Wang, G., Medlin Jr, R. P., Kronick, S. L., Singh, K., Park, P. K., Napolitano, L. M., Dickson, R. P., et al. (2021) · JMIR Medical Informatics

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 35

Prediction of Postoperative Deterioration in Cardiac Surgery Patients Using Electronic Health Record and Physiologic Waveform Data

Mathis, M. R., Engoren, M. C., Williams, A. M., Biesterveld, B. E., Croteau, A. J., Cai, L., Kim, R. B., Liu, G., Ward, K. R., Najarian, K., et al. (2022) · Anesthesiology

Machine Learning in HealthcareHemodynamic Monitoring and Therapy

Cited by 24