21 citations · 29 across the 2 of their papers we have counts for
3 papers
Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients
Alireza Rafiei, Ronald Moore, Tilendra Choudhary +6
Objective: Blood transfusions, crucial in managing anemia and coagulopathy in ICU settings, require accurate prediction for effective resource allocation and patient risk assessmen…
Meta-learning in healthcare: A survey
Alireza Rafiei, Ronald Moore, Sina Jahromi +2
As a subset of machine learning, meta-learning, or learning to learn, aims at improving the model's capabilities by employing prior knowledge and experience. A meta-learning paradi…
Transfer Learning for Causal Effect Estimation
Song Wei, Hanyu Zhang, Ronald Moore +2
We present a Transfer Causal Learning (TCL) framework when target and source domains share the same covariate/feature spaces, aiming to improve causal effect estimation accuracy in…