Abstract：
INTRODUCTION:Clinicians commonly use the modified Rankin Scale (mRS) and the Barthel Index (BI) to measure clinical outcome after stroke. These are potential targets in machine learning models for stroke outcome prediction. Therefore, the quality of the measurements is crucial for training and validation of these models. The objective of this study was to apply and evaluate density-based outlier detection methods for identifying potentially incorrect measurements in multiple large stroke datasets to assess the measurement quality. METHOD:We applied three density-based outlier detection methods including density-based spatial clustering of applications (DBSCAN), hierarchical DBSCAN (HDBSCAN) and local outlier factor (LOF) based on a large dataset obtained from a nationwide prospective stroke registry in Taiwan. The testing of each method was done by using four different NINDS funded stroke datasets. RESULT:The DBSCAN achieved a high performance across all mRS values where the highest average accuracy was 99.2 ± 0.7 at mRS of 4 and the lowest average accuracy was 92.0 ± 4.6 at mRS of 3. The LOF also achieved similar performance, however, the HDBSCAN with default parameters setting required further tuning improvement. CONCLUSION:The density-based outlier detection methods were proven to be promising for validation of stroke outcome measures. The outlier detection algorithm developed from a large prospective registry dataset was effectively applied in four different NINDS stroke datasets with high performance results. The tool developed from this detection algorithm can be further applied to real world datasets to increase the data quality in stroke outcome measures.
journal_name
Int J Med Informjournal_title
International journal of medical informaticsauthors
Lin CH,Hsu KC,Johnson KR,Luby M,Fann YCdoi
10.1016/j.ijmedinf.2019.103988subject
Has Abstractpub_date
2019-12-01 00:00:00pages
103988eissn
1386-5056issn
1872-8243pii
S1386-5056(19)30673-2journal_volume
132pub_type
杂志文章abstract：:The explosive increase in the power of computers has enabled the creation of fast, interactive 3D environments, sometimes called virtual reality (VR). This technology, often associated with arcade games, is increasingly being used for more serious applications. This paper describes research showing transfer of skills ...
journal_title：International journal of medical informatics
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journal_title：International journal of medical informatics
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journal_title：International journal of medical informatics
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journal_title：International journal of medical informatics
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journal_title：International journal of medical informatics
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journal_title：International journal of medical informatics
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journal_title：International journal of medical informatics
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journal_title：International journal of medical informatics
pub_type： 杂志文章,多中心研究
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journal_title：International journal of medical informatics
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2011.01.005
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journal_title：International journal of medical informatics
pub_type： 杂志文章
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journal_title：International journal of medical informatics
pub_type： 杂志文章
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journal_title：International journal of medical informatics
pub_type： 杂志文章
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2012.09.007
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journal_title：International journal of medical informatics
pub_type： 杂志文章
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journal_title：International journal of medical informatics
pub_type： 杂志文章,meta分析,评审
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2012.11.007
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journal_title：International journal of medical informatics
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journal_title：International journal of medical informatics
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journal_title：International journal of medical informatics
pub_type： 杂志文章
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journal_title：International journal of medical informatics
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journal_title：International journal of medical informatics
pub_type： 杂志文章
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journal_title：International journal of medical informatics
pub_type： 杂志文章
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journal_title：International journal of medical informatics
pub_type： 杂志文章
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journal_title：International journal of medical informatics
pub_type： 杂志文章
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journal_title：International journal of medical informatics
pub_type： 杂志文章
doi：10.1016/j.ijmedinf.2005.03.010
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journal_title：International journal of medical informatics
pub_type： 杂志文章,评审
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更新日期：2013-09-01 00:00:00
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journal_title：International journal of medical informatics
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更新日期：2018-01-01 00:00:00
