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Challenges of Clustering Multimodal Clinical Data: Review of Applications in Asthma Subtyping.

Elsie M F HorneHolly TibbleAziz SheikhAthanasios Tsanas
Published in: JMIR medical informatics (2020)
This review highlights common issues in the application of cluster analysis to multimodal clinical data to identify asthma subtypes. Some of these issues were related to the multimodal nature of the data, but many were more general issues in the application of cluster analysis. Although cluster analysis may be a useful tool for investigating disease subtypes, we recommend that future studies carefully consider the implications of clustering multimodal data, the cluster analysis process itself, and the reporting of methods to facilitate replication and interpretation of findings.
Keyphrases
  • electronic health record
  • chronic obstructive pulmonary disease
  • pain management
  • emergency department
  • air pollution
  • current status