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A temporal model for Clinical Data Analytics language.

Leila Safari, Jon D Patrick

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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    Summary
    This summary is machine-generated.

    A new language, CliniDAL, addresses the temporal complexities in clinical data analytics. It enables robust querying of time-based events for improved scientific experiment evaluation.

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    Area of Science:

    • Computer Science
    • Medical Informatics
    • Data Science

    Background:

    • Clinical data possesses a critical temporal dimension.
    • Existing systems struggle to effectively query and analyze time-based clinical events.
    • Addressing temporal aspects is crucial for accurate clinical data analytics.

    Purpose of the Study:

    • To propose a special-purpose language, CliniDAL, for clinical data analytics.
    • To present a general model for expressing temporal events within CliniDAL.
    • To address five key challenges in handling temporal data in clinical information systems.

    Main Methods:

    • Defined temporal elements of CliniDAL using Bachus Naur Form (BNF) and a UML schema.
    • Developed a model to integrate time-based constraints into queries.
    • Designed a taxonomy of data analytics tasks to demonstrate CliniDAL's application.

    Main Results:

    • CliniDAL effectively handles relative and absolute time in queries.
    • The language addresses internal time-event dependencies in complex query cascades.
    • Demonstrated solutions for mining temporal data across diverse clinical information systems (CISs) and data models.

    Conclusions:

    • CliniDAL provides a robust framework for clinical data analytics, specifically managing temporal event dependencies.
    • The proposed model offers a practical approach to querying historical patient data and time-based constraints.
    • Further discussion addresses practical implementation challenges of the CliniDAL model.