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Rethinking Document Classification.pdf (1.01 MB)

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Rethinking Document Classification: A Pilot for the Application of Text Mining Techniques To Enhance Standardized Assessment Protocols for Critical Care Medical Team Transfer of Care

Walker, Briana Shanise
http://orcid.org/0000-0001-8878-5102
http://rave.ohiolink.edu/etdc/view?acc_num=case1496760037827537

Abstract Details

2017, Master of Sciences, Case Western Reserve University, Systems Biology and Bioinformatics.
The research efforts undertaken in this thesis project represent an extension of the previously published works of Alfes & Reimer (2016). This pilot study evaluates the feasibility of applying supervised text classification to properly label successful patient handoffs. Using an expertly-created evaluation rubric as the gold standard for labeling, a variety of document classification techniques were applied to the transcribed dialogue of the Lead Flight specialist in LifeFlight simulation exercises. The purpose of the present work was to establish the effectiveness of the selected classification methods as part of natural language processing algorithm development to automatically identifying handoffs as successful/unsuccessful. Several different common preprocessing filtering methods and text classifiers were selected from the literature and are investigated. The results of the current research indicate that lowercasing tokens, TF-IDF transformation, and normalization of document length can have positive effects on the resulting F1 evaluation metric. Results from the classification test runs indicate that the best performing classifier varies with increasing n-fold cross validation, with Decision Trees (2-,3-fold) and Multinomial Naive Bayes (5-fold) yielding top F1-measures.
Colin Drummond, PhD, MBA (Advisor)
Thomas Love, PhD (Committee Member)
Andrew Reimer, PhD, RN, CFRN (Committee Member)
77 p.
Bioinformatics; Nursing
critical care; transfer of care; text classification; document classification; supervised classification; dialogue;

Recommended Citations

Citations

  • Walker, B. S. (2017). Rethinking Document Classification: A Pilot for the Application of Text Mining Techniques To Enhance Standardized Assessment Protocols for Critical Care Medical Team Transfer of Care [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1496760037827537

    APA Style (7th edition)

  • Walker, Briana. Rethinking Document Classification: A Pilot for the Application of Text Mining Techniques To Enhance Standardized Assessment Protocols for Critical Care Medical Team Transfer of Care. 2017. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1496760037827537.

    MLA Style (8th edition)

  • Walker, Briana. "Rethinking Document Classification: A Pilot for the Application of Text Mining Techniques To Enhance Standardized Assessment Protocols for Critical Care Medical Team Transfer of Care." Master's thesis, Case Western Reserve University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1496760037827537

    Chicago Manual of Style (17th edition)

case1496760037827537
401
© 2017, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.