Holder, Andre

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

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

Should AI models be explainable to clinicians?

Abgrall, G., Holder, A. L., Chelly Dagdia, Z., Zeitouni, K., & Monnet, X. (2024) · Critical Care

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 175

Early sepsis detection in critical care patients using multiscale blood pressure and heart rate dynamics

Shashikumar, S. P., Stanley, M. D., Sadiq, I., Li, Q., Holder, A., Clifford, G. D., & Nemati, S. (2017) · Journal of Electrocardiology

Sepsis Diagnosis and TreatmentHeart Rate Variability and Autonomic Control

Cited by 167

The Precision Resuscitation With Crystalloids in Sepsis (PRECISE) Trial: A Trial Protocol

Bhavani, S. V., Holder, A., Miltz, D., Kamaleswaran, R., Khan, S., Easley, K., Murphy, D. J., Franks, N., Wright, D. W., Kraft, C., et al. (2024) · JAMA Network Open

Sepsis Diagnosis and TreatmentAcute Kidney Injury Research

Cited by 21