Buchman, Timothy G.

An interpretable machine learning model for accurate prediction of sepsis in the ICU

Nemati, S., Holder, A., Razmi, F., Stanley, M. D., Clifford, G. D., & Buchman, T. G. (2018) · Critical Care Medicine

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 832

Control of confounding and reporting of results in causal inference studies. Guidance for authors from editors of respiratory, sleep, and critical care journals

Lederer, D. J., Bell, S. C., Branson, R. D., Chalmers, J. D., Marshall, R., Maslove, D. M., Ost, D. E., Punjabi, N. M., Schatz, M., Smyth, A. R., et al. (2019) · Annals of the American Thoracic Society

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 715

Analysis of Discrepancies between Pulse Oximetry and Arterial Oxygen Saturation Measurements by Race and Ethnicity and Association with Organ Dysfunction and Mortality

Wong, A.-K. I., Charpignon, M., Kim, H., Josef, C., de Hond, A. A. H., Fojas, J. J., Tabaie, A., Liu, X., Mireles-Cabodevila, E., Carvalho, L., et al. (2021) · JAMA Network Open

Non-Invasive Vital Sign MonitoringHemodynamic Monitoring and Therapy

Cited by 268

The community of the self

Buchman, T. G. (2002) · Nature

Gene Regulatory Network AnalysisComplex Systems and Dynamics

Cited by 207

Pharmacoepidemiology of QT‐interval prolonging drug administration in critically ill patients

Freeman, B. D., Dixon, D. J., Coopersmith, C. M., Zehnbauer, B. A., & Buchman, T. G. (2008) · Pharmacoepidemiology and Drug Safety

Cardiac electrophysiology and arrhythmiasPharmaceutical Practices and Patient Outcomes

Cited by 48

Towards precision medicine: Accurate predictive modeling of infectious complications in combat casualties

Dente, C. J., Bradley, M., Schobel, S., Gaucher, B., Buchman, T., Kirk, A. D., & Elster, E. (2017) · Journal of Trauma and Acute Care Surgery

Sepsis Diagnosis and TreatmentTrauma and Emergency Care Studies

Cited by 35

Multicenter Prospective Validation of an Updated Proprietary Sepsis Prediction Model

Wong, A., Currey, D., Schwinne, M., Park-Egan, B., Meyer, S., Gutting, A., Cao, J., Khan, S., Dantes, R., Pan, T., et al. (2026) · JAMA Network Open

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 21