Combining Knowledge and Data Driven Insights for Identifying Risk Factors using Electronic Health Records

By Jimeng Sun, Jianying Hu, Dijun Luo, M. Markatou, Fei Wang, Shahram Ebadollahi, Zahra Daar, Walter F. Stewart. 2012

98 citations recorded by the source corpus.

How researchers see this paper

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

1. Anita M. Preininger

Citations in the corpus

• Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk Factors (2015, unknown): “The third group of related work considers a broader set of features, which can be utilized to predict outcomes such as heart failure 12,53 and the occurrence of urgent care events and uncontrolled A1c for diabetic patients.”
• AI in Health: State of the Art, Challenges, and Future Directions (2019, background): “Another important route is to incorporate existing medical knowledge [30] which can guide the model learning process towards the right direction.”