title: Temporal electronic phenotyping by mining careflows of breast cancer patients.
abstract: In this work we present a careflow mining approach designed to analyze heterogeneous longitudinal data and to identify phenotypes in a patient cohort. The main idea underlying our approach is to combine methods derived from sequential pattern mining and temporal data mining to derive frequent healthcare histories (careflows) in a population of patients. This approach was applied to an integrated data repository containing clinical and administrative data of more than 4000 breast cancer patients. We used the mined histories to identify sub-cohorts of patients grouped according to healthcare activities pathways, then we characterized these sub-cohorts with clinical data. In this way, we were able to perform temporal electronic phenotyping of electronic health records (EHR) data.
authors.affiliation: Department of Electrical, Computer and Biomedical Engineering and Centre for Health Technologies, University of Pavia, Italy. Electronic address: arianna.dagliati@unipv.it.
authors.forename: A
authors.initials: A
authors.lastname: Dagliati
authors.affiliation: Department of Electrical, Computer and Biomedical Engineering and Centre for Health Technologies, University of Pavia, Italy.
authors.forename: L
authors.initials: L
authors.lastname: Sacchi
authors.affiliation: IRCCS Fondazione S. Maugeri, Pavia, Italy; Ospedale Papa Giovanni XXIII, Bergamo, Italy.
authors.forename: A
authors.initials: A
authors.lastname: Zambelli
authors.affiliation: IRCCS Fondazione S. Maugeri, Pavia, Italy.
authors.forename: V
authors.initials: V
authors.lastname: Tibollo
authors.affiliation: IRCCS Fondazione S. Maugeri, Pavia, Italy.
authors.forename: L
authors.initials: L
authors.lastname: Pavesi
authors.affiliation: Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
authors.forename: J H
authors.initials: JH
authors.lastname: Holmes
authors.affiliation: Department of Electrical, Computer and Biomedical Engineering and Centre for Health Technologies, University of Pavia, Italy; IRCCS Fondazione S. Maugeri, Pavia, Italy.
authors.forename: R
authors.initials: R
authors.lastname: Bellazzi
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis / Q000628:therapy*; D057225:Data Mining; D003695:Delivery of Health Care; D057286:Electronic Health Records; D004581:Electronics; D005260:Female; D006801:Humans; D005791:Patient Care / Q000706:statistics & numerical data*
keywords: Careflow mining; Electronic phenotyping; Heterogeneous data sets; Temporal data mining