A Machine Learning-Based Clinical Decision Support System to Improve End-of-Life Care.
End-of-life care (EoLC), such as advance care planning, advance directives, hospice, and palliative care consults, can improve patient quality of life and reduce costs, yet such interventions are underused. Machine learning-based prediction models show promise in identifying patients who may be candidates for EoLC based on increased risk of short-term (less than 1 year) mortality. Clinical decision support systems using these models can identify candidate patients at a time during [...]
Author(s): Pierce, Robert P, Kell, Adam, Eskridge, Bernie, Brandt, Lea, Clary, Kevin W, Craig, Kevin
DOI: 10.1055/a-2630-3204