Baptiste Jouaneton

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OBJECTIVES To estimate the number and costs of hospitalisations associated with osteoporosis in France. METHODS Data for women aged 50 years and over were extracted from the 2008 French Hospital National Database. Criteria for acute care were established according to ICD-10 codes related to osteoporosis. As coding rules are not systematically used, an(More)
The analysis of patient pathways from event log is gaining importance in the field of medical information. It provides deep insights about the care process and the ways to improve it. This paper combines optimization and process mining. A new Integer Linear Programming model is proposed to discover the care process at a macroscopic scale from a large-size(More)
AIMS To evaluate the health care burden of chronic hepatitis C (CHC) in French hospitals. METHODS All hospital stays with CHC ICD-10 code were extracted from the 2009 French hospital discharge database and classified in five groups: non-complicated CHC, liver cirrhosis (CIR), hepatocarcinoma (HCC), liver transplantation (LT) and unclassified. Hospital(More)
The analysis of clinical pathways from event logs provides new insights about care processes. In this paper, we propose a new methodology to automatically perform simulation analysis of patients' clinical pathways based on a national hospital database. Process mining is used to build highly representative causal nets, which are then converted to state(More)
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