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Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies.

, , , , , , , and . CoRR, (2021)

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Increasing temporal diversity with purchase intervals., , , and . SIGIR, page 165-174. ACM, (2012)ERkNN: efficient reverse k-nearest neighbors retrieval with local kNN-distance estimation., , and . CIKM, page 533-540. ACM, (2005)Linking Temporal Records for Profiling Entities., , , and . SIGMOD Conference, page 593-605. ACM, (2015)Image Mining: Trends and Developments., , and . J. Intell. Inf. Syst., 19 (1): 7-23 (2002)Approximate Counting of Frequent Query Patterns over XQuery Stream., , and . DASFAA, volume 2973 of Lecture Notes in Computer Science, page 75-87. Springer, (2004)Discovering Geographical Features for Location-Based Services., , and . DASFAA, volume 2973 of Lecture Notes in Computer Science, page 244-254. Springer, (2004)Discovering Spatial Interaction Patterns., , , and . DASFAA, volume 4947 of Lecture Notes in Computer Science, page 95-109. Springer, (2008)Efficient mining of frequent XML query patterns with repeating-siblings., , , , and . Inf. Softw. Technol., 50 (5): 375-389 (2008)Consistent Top-k Queries over Time., , , and . DASFAA, volume 5463 of Lecture Notes in Computer Science, page 51-65. Springer, (2009)Efficient remote homology detection using local structure., , , and . Bioinform., 19 (17): 2294-2301 (2003)