Supporting Iterative Cohort Construction with Visual Temporal Queries

被引:60
|
作者
Krause, Josua [1 ]
Perer, Adam [2 ]
Stavropoulos, Harry [2 ]
机构
[1] NYU, New York, NY 10003 USA
[2] IBM TJ Watson Res Ctr, Yorktown Hts, NY USA
关键词
Visual temporal queries; cohort definition; electronic medical records; information visualization; EVENT SEQUENCES; PATTERNS; EXPLORATION; LANGUAGE;
D O I
10.1109/TVCG.2015.2467622
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Many researchers across diverse disciplines aim to analyze the behavior of cohorts whose behaviors are recorded in large event databases. However, extracting cohorts from databases is a difficult yet important step, often overlooked in many analytical solutions. This is especially true when researchers wish to restrict their cohorts to exhibit a particular temporal pattern of interest. In order to fill this gap, we designed COQUITO, a visual interface that assists users defining cohorts with temporal constraints. CO QUITO was designed to be comprehensible to domain experts with no preknowledge of database queries and also to encourage exploration. We then demonstrate the utility of CO QUITO via two case studies, involving medical and social media researchers.
引用
收藏
页码:91 / 100
页数:10
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