Development and Evaluation of a Similarity Measure for Medical Event Sequences

Mannino, Michael and Fredrickson, Joel and Banaei-Kashani, Farnoush and Linkck, Iris and Alquras Raghda, Raghda (2017) Development and Evaluation of a Similarity Measure for Medical Event Sequences. ACM Transactions on Management Information Systems (ACM TMIS).

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Abstract

We develop a similarity measure for medical event sequences (MESs) and empirically evaluate it using U.S. Medicare claims data. Existing similarity measures do not use unique characteristics of MESs and have never been evaluated on real MESs. Our similarity measure, the Optimal Temporal Common Subsequence for Medical Event Sequences (OTCS-MES), provides a matching component that integrates event prevalence, event duplication, and hierarchical coding, important elements of MESs. The OTCS-MES also uses normalization to mitigate the impact of heavy positive skew of matching events and compact distribution of event prevalence. We empirically evaluate the OTCS-MES measure against two other measures specifically designed for MESs, the original OTCS and Artemis, a measure incorporating event alignment. Our evaluation uses two substantial data sets of Medicare claims data containing inpatient and outpatient sequences with different medical event coding.We find a small overlap in nearest neighbors among the three similarity measures, demonstrating the superior design of the OTCS-MES with its emphasis on unique aspects of MESs. The evaluation also provides evidence about the impact of component weights, neighborhood size,and sequence length.

Item Type: Article
Subjects: R Medicine > R Medicine (General)
Divisions: Faculty of Industrial Engineering and Informatics > Information System
Depositing User: staff repository 2
Date Deposited: 25 Jul 2018 19:07
Last Modified: 25 Jul 2018 19:07
URI: http://repository.ittelkom-pwt.ac.id/id/eprint/800

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