Identifying homogeneous healthcare use profiles and treatment sequences by combining sequence pattern mining with care trajectory clustering in kidney cancer patients on oral anticancer drugs: A case study.
Cyril BaudrierYohann TranNicolas DelanoySandrine KatsahianBrigitte SabatierGermain PerrinPublished in: Health Informatics J. (2022)
Keyphrases
- pattern mining
- cancer patients
- sequential data
- clinical trials
- sequential patterns
- sequential pattern mining
- frequent sequences
- clinical data
- medical care
- graph mining
- treatment plan
- clustering method
- pattern discovery
- data mining
- breast cancer
- frequent pattern mining
- sequence analysis
- health care
- prostate cancer
- frequent patterns
- itemsets
- clustering algorithm
- breast cancer patients
- treatment planning
- decision support system
- data mining techniques
- k means
- cancer classification
- chronic disease
- machine learning
- early detection
- gene expression profiles
- imaging modalities
- clinical practice
- radiation therapy
- sequence data
- gene selection
- protein sequences
- high dimensional data
- multi dimensional