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CRICO Grants
Data Reconstruction Based on Temporal Expressions in Clinical Notes
Dec 01, 2019
This study utilized algorithms to analyze clinical notes for patients with chronic obstructive pulmonary disease (COPD). The researchers created the data reconstruction algorithm to detect temporal intent and then rewrites it to fit the parameters into nontemporal subexpressions and temporal constraints. The research found that this algorithm was possible to utilize on COPD patients.
Citation for the Full-text Article
Zhang Z, Tang C, Plasek JM, Xiong Y, Kang MJ, Dykes PC, Bates DW, Zhou L. Data reconstruction based on temporal expressions in clinical notes. IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2019; 1004-1008. doi: 10.1109/BIBM47256.2019.8983207.
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