Defining a comprehensive verotype using electronic health records for personalized medicine.

By Mary Regina Boland, George Hripcsak, Yufeng Shen, W. Chung, Chunhua Weng. 2013

61 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

How researchers see this paper

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

In Artificial Intelligence

1. Zexian Zeng
2. Tristan Naumann
3. Xiaoyu Li
4. Yu Deng
5. Justin B. Starren
6. Yuan Luo
7. Siddhartha R. Jonnalagadda

In Molecular Biology

1. Zexian Zeng
2. Justin B. Starren
3. Tristan Naumann
4. Xiaoyu Li
5. Yu Deng
6. Yuan Luo
7. Siddhartha R. Jonnalagadda

Citations in the corpus

• Natural Language Processing for EHR-Based Computational Phenotyping (2018, background): “[188] highlighted the heterogeneity apparent in clinical narratives due to the variance in physicians’ expertise and behaviors.”
• Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review (2017, background): “[93] pointed out that all clinicians do not document their care the same way and this documentation variation introduces challenges in determining patient phenotypes.”