Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction

por Rahmani, Keyvan, Thapa, Rahul, Tsou, Peiling, Chetty, Satish Casie, Barnes, Gina, Lam, Carson, Tso, Chak Foon
Publicado 2022

Machine learning to predict progression of non‐alcoholic fatty liver to non‐alcoholic steatohepatitis or fibrosis

por Ghandian, Sina, Thapa, Rahul, Garikipati, Anurag, Barnes, Gina, Green‐Saxena, Abigail, Calvert, Jacob, Mao, Qingqing, Das, Ritankar
Publicado 2022

Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Stud...

por Lam, Carson, Thapa, Rahul, Maharjan, Jenish, Rahmani, Keyvan, Tso, Chak Foon, Singh, Navan Preet, Casie Chetty, Satish, Mao, Qingqing
Publicado 2022

The shaky foundations of large language models and foundation models for electronic health records

por Wornow, Michael, Xu, Yizhe, Thapa, Rahul, Patel, Birju, Steinberg, Ethan, Fleming, Scott, Pfeffer, Michael A., Fries, Jason, Shah, Nigam H.
Publicado 2023

Predicting Falls in Long-term Care Facilities: Machine Learning Study

por Thapa, Rahul, Garikipati, Anurag, Shokouhi, Sepideh, Hurtado, Myrna, Barnes, Gina, Hoffman, Jana, Calvert, Jacob, Katzmann, Lynne, Mao, Qingqing, Das, Ritankar
Publicado 2022

DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record

por Corbin, Conor K, Maclay, Rob, Acharya, Aakash, Mony, Sreedevi, Punnathanam, Soumya, Thapa, Rahul, Kotecha, Nikesh, Shah, Nigam H, Chen, Jonathan H
Publicado 2023