Importance of multi-modal approaches to effectively identify cataract cases from electronic health records

By P. Peissig, L. Rasmussen, R. Berg, J. Linneman, C. McCarty, Carol Waudby, Lin Chen, Joshua Charles Denny, R. Wilke, Jyotishman Pathak and 3 more. 2012

124 citations recorded by the source corpus.

Subfields: Health Information Management, Molecular Biology, Radiology, Nuclear Medicine and Imaging

How researchers see this paper

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

In Health Information Management

1. Yuan Luo
2. Michael S. Steinbach
3. Vipin Kumar
4. Xiaoyu Li
5. Yu Deng
6. Zexian Zeng
7. György J. Simon
8. Pranjul Yadav

In Molecular Biology

1. Zexian Zeng
2. Tristan Naumann
3. Xiaoyu Li
4. Yu Deng
5. Yuan Luo
6. Michael S. Steinbach
7. Vipin Kumar

In Radiology, Nuclear Medicine and Imaging

1. Vipin Kumar

Citations in the corpus

• Natural Language Processing for EHR-Based Computational Phenotyping (2018, background): “geneous data sources in addition to structured data, such as clinical narratives, public databases, social media, biomedical literature [15], [88], [101], [111], [115], [175], [176].”
• Mining Electronic Health Records: A Survey (2017, background): “…et al. 2013] Descritive Temporal [Gotz et al. 2014; Schulam et al. 2015; Lasko et al. 2013; Wang et al. 2015a] Cross-Sectional [Wang et al. 2013b; Peissig et al. 2012; Pathak et al. 2012; Nadkarni et al. 2014; Chen et al. 2015; Chen et al. 2016; Hripcsak et al. 1997; Hripcsak and Albers 2013]…”