Mining post-surgical care processes in breast cancer patients

Artificial Intelligence in Medicine(2020)

引用 14|浏览60
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摘要
•A data analysis pipeline to extract frequent patterns in breast cancer patients using administrative data from EHR.•A Topic Modeling step allows synthesizing the ICD9-CM codes of the procedures carried out during hospitalizations.•Frequent patterns of care are extracted through a careflow mining algorithm.•The results reveal interesting temporal phenotypes, which are different in terms of clinical outcome.•The resulting careflows reflect the clinical practice guidelines enacted at the considered Breast Unit.
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关键词
Breast cancer,Process Mining,Topic Modelling,Latent Dirichlet Allocation,Temporal Data Analytics,Temporal Electronic Phenotyping,Electronic Health Records
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