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Fill in the Blank, MIMIC the Procedure: Tracking Patient Record for Medical Data Reconstruction
Sujung Lee1,2, Daechul Seo2, Taehoon Ko1
1Department of medical informatics, College of Medicine, The Catholic University of Korea, Republic of Korea.
Abstract:
This study addresses the missing data problem in the large-scale medical dataset MIMIC-IV, especially in situations where intubation-extubation events are paired. We employed a strategy involving patient scenario works that checked the temporal order and logical links of intubation/extubation data, and seven reconstruction rules for handling missing values. Through this, we reduced the overall loss rate from 36.89% (3321 records) to 13.37% (1204 records) and achieved a 37.26% data increase (+2117 records) compared to before reconstruction(6582).
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