A Framework for Using Real-World Data and Health Outcomes Modeling to Evaluate Machine Learning –Based Risk Prediction Models

We propose a framework of health outcomes modeling with dynamic decision making and real-world data (RWD) to evaluate the potential utility of novel risk prediction models in clinical practice. Lung transplant (LTx) referral decisions in cystic fibrosis offer a complex case study.

Source: Value in Health - December 22, 2021 Category: International Medicine & Public Health Authors: Patricia J. Rodriguez, David L. Veenstra, Patrick J. Heagerty, Christopher H. Goss, Kathleen J. Ramos, Aasthaa Bansal Tags: Themed Section Source Type: research