Feature extraction from unequal length heterogeneous EHR time series via dynamic time warping and tensor decomposition

DOI10.1007/s10618-020-00724-6zbMath1478.62273OpenAlexW3119564402MaRDI QIDQ2036789

Chi Zhang, Magne Thoresen, Hadi Fanaee-T

Publication date: 30 June 2021

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-020-00724-6

zbMATH Keywords

dynamic time warpingtensor decompositionelectronic health records (EHR)patient similarity

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

Guest editorial: Special issue on mining for health

Uses Software

• dtw
• Tensorlab
• Keras
• FastDTW

Cites Work

• Tensor Decompositions and Applications
• FastEE: fast ensembles of elastic distances for time series classification
• Dynamic programming algorithm optimization for spoken word recognition
• Tensor Decomposition for Signal Processing and Machine Learning