Medidata Solutions, Inc.

Jimeng Sun

Mandis S Beigi

Afrah Shafquat

Jason Mezey

Jacob Aptekar

Pierre-Louis Bourlon

Generating a synthetic longitudinal dataset includes identifying subsequence patterns in records defining event sequences for patients. Feature vectors are determined, each characterizing a corresponding one of the records, based on the subsequence patterns. The feature vectors are embedded in a lower dimension space. A seed record is iteratively selected from among the records and in each iteration: subsequence patterns are identified in a subset of the records. Instances of subsequence patterns in the seed record are replaced with instances of similar subsequence patterns identified in the subset of the records to form a modified seed record. The iterations are repeated until all of the records have been selected as the seed record. The modified seed records are combined to form the synthetic dataset.

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Las Vegas, NV, United States of America

Jimeng Sun