Comorbidity Indices to Predict Mortality From Medicare Data: Results From the National Registry of Atrial Fibrillation

By Yan Yan, E. Birman-Deych, M. Radford, D. Nilasena, B. Gage. 2005

82 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Epidemiology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cardiology and Cardiovascular Medicine

1. Sebastian Schneeweiss

In Epidemiology

1. Sebastian Schneeweiss
2. J. Avorn

Citations in the corpus

• Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time (2018, methodology): “For example, EHR data have been widely used in various healthcare research tasks such as risk prediction [15, 16, 33], retrospective epidemiologic studies [17, 26, 29] and phenotyping [12, 31].”
• A combined comorbidity score predicted mortality in elderly patients better than existing scores (2011, background): “leukemia and lymphoma get grouped with any tumor), consistently performs best in predicting mortality in older populations [2,15,16].”