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AliClu - Temporal sequence alignment for clustering longitudinal clinical data.

Kishan RamaHelena CanhãoAlexandra M CarvalhoSusana Vinga
Published in: BMC medical informatics and decision making (2019)
The AliClu is a promising computational strategy to analyse longitudinal patient data by providing validated clusters and by unravelling the patterns that exist in clinical outcomes. Patient stratification is performed in an automatic or semi-automatic way, allowing one to tune the alignment, clustering, and validation parameters. The AliClu is freely available at https://github.com/sysbiomed/AliClu.
Keyphrases
  • case report
  • electronic health record
  • deep learning
  • big data
  • machine learning
  • single cell
  • cross sectional
  • rna seq
  • artificial intelligence
  • neural network
  • amino acid
  • clinical evaluation