An approach to predicting patient experience through machine learning and social network analysis

por Bari, Vitej, Hirsch, Jamie S, Narvaez, Joseph, Sardinia, Robert, Bock, Kevin R, Oppenheim, Michael I, Meytlis, Marsha
Publicado 2020

Application of a Machine Learning Algorithm to Develop and Validate a Prediction Model for Ambulatory Non-Arrivals

por Coppa, Kevin, Kim, Eun Ji, Oppenheim, Michael I., Bock, Kevin R., Zanos, Theodoros P., Hirsch, Jamie S.
Publicado 2023

Design, development, and deployment of an indication- and kidney function-based decision support tool to optimize treatment and reduce medication dosing errors

por Hirsch, Jamie S, Brar, Rajdeep, Forrer, Christopher, Sung, Christine, Roycroft, Richard, Seelamneni, Pradeep, Dabir, Hemala, Naseer, Ambareen, Gautam-Goyal, Pranisha, Bock, Kevin R, Oppenheim, Michael I
Publicado 2021

Let Sleeping Patients Lie, avoiding unnecessary overnight vitals monitoring using a clinically based deep-learning model

por Tóth, Viktor, Meytlis, Marsha, Barnaby, Douglas P., Bock, Kevin R., Oppenheim, Michael I., Al-Abed, Yousef, McGinn, Thomas, Davidson, Karina W., Becker, Lance B., Hirsch, Jamie S., Zanos, Theodoros P.
Publicado 2020