کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
517123 867417 2014 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A methodology for interactive mining and visual analysis of clinical event patterns using electronic health record data
ترجمه فارسی عنوان
روش شناسی برای استخراج تعاملی و تجزیه و تحلیل بصری الگوهای رویدادهای بالینی با استفاده از داده های ثبت الکترونیکی سلامت
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• Differences in patient progression can significantly impact outcomes.
• We present a methodology for interactive pattern mining and analysis of patient data.
• Our approach combines ad hoc visual queries, mining, and interactive visualization.
• Our methods uncover key event patterns and their associations with outcome over time.
• Prototype implementation applied to population of 32,000 cardiology patients.

Patients’ medical conditions often evolve in complex and seemingly unpredictable ways. Even within a relatively narrow and well-defined episode of care, variations between patients in both their progression and eventual outcome can be dramatic. Understanding the patterns of events observed within a population that most correlate with differences in outcome is therefore an important task in many types of studies using retrospective electronic health data. In this paper, we present a method for interactive pattern mining and analysis that supports ad hoc visual exploration of patterns mined from retrospective clinical patient data. Our approach combines (1) visual query capabilities to interactively specify episode definitions, (2) pattern mining techniques to help discover important intermediate events within an episode, and (3) interactive visualization techniques that help uncover event patterns that most impact outcome and how those associations change over time. In addition to presenting our methodology, we describe a prototype implementation and present use cases highlighting the types of insights or hypotheses that our approach can help uncover.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Biomedical Informatics - Volume 48, April 2014, Pages 148–159
نویسندگان
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