Medidata Solutions, Inc.

Pierre-Louis Bourlon

Mandis S Beigi

Afrah Shafquat

Jason Mezey

Jacob Aptekar

Jimeng Sun

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.

Growing community of inventors

New York, NY, United States of America

Pierre-Louis Bourlon