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ClinMine: Optimizing the Management of Patients in Hospital

Abstract : A better understanding of “patient pathway” thanks to data analysis can lead to better treatments for patients. The ClinMine project, supported by the The French National Research Agency (ANR), aims at proposing, from various case studies, algorithmic and statistical models able to handle this type of pathway data, focusing primarily on hospital data. This article presents two of these case studies, focusing on the integration of temporal data within analysis. First, the hypothesis that some aspects of the patient pathway can be described, even predicted, from the management process of the hospital medical mail is studied. Therefore a specific functional data analysis is driven, and several types of patients have been detected. The second case study deals with the detection of profiles through a biclustering of the patients. The difficulty to simultaneously deal with heterogeneous data, including temporal data is exposed and a method is proposed. Results on real data show the effectiveness of the proposed method.
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Submitted on : Friday, January 26, 2018 - 2:28:09 PM
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Clarisse Dhaenens, Julie Jacques, Vincent Vandewalle, Maxence Vandromme, Emmanuel Chazard, et al.. ClinMine: Optimizing the Management of Patients in Hospital. Innovation and Research in BioMedical engineering, 2018, 39 (2), pp.83-92. ⟨10.1016/j.irbm.2017.12.002⟩. ⟨hal-01692197⟩



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