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COVIZ: A System for Visual Formation and Exploration of Patient Cohorts

Summary: COVIZ is an interactive visual system for forming and exploring patient cohorts. Unifies cohort creation, trajectory summaries, hypothesis generation; introduces QDS for fast, facet retrieval and cross-cohort comparisons with air-quality context. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12063
Venue
VLDB
Year
2019
Pagerank
5.7303405e-05
Overall Rank
6,966 | 52.21%
DOI
10.14778/3352063.3352075

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{pahins_vldb19,
        title = {{COVIZ: A System for Visual Formation and Exploration of Patient Cohorts}},
        author = {Pahins, Cícero A. L. and Omidvar-Tehrani, Behrooz and Amer-Yahia, Sihem and Siroux, Valérie and Pepin, Jean-Louis and Borel, Jean-Christian and Comba, João L. D.},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {12},
        pages = {1822--1825},
        doi = {10.14778/3352063.3352075},
        url = {https://doi.org/10.14778/3352063.3352075},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,244 CohortNet: Empowering Cohort Discovery for Interpretable Healthcare Analytics 2024 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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