InforLorV4, Main, Exploration, bibRecord, 001646

An Approach for Mining Care Trajectories for Chronic Diseases

Identifieur interne : 001646 ( Main/Exploration ); précédent : 001645; suivant : 001647

An Approach for Mining Care Trajectories for Chronic Diseases

Auteurs : Elias Egho [France] ; Nicolas Jay [France] ; Chedy Raïssi [France] ; Gilles Nuemi [France] ; Catherine Quantin [France] ; Amedeo Napoli [France]

Source :

Lecture Notes in Computer Science [ 0302-9743 ]

RBID : ISTEX:44E96A0E3E46B18AE7F21214ACA453A7DF519373

Abstract

Abstract: With the increasing burden of chronic illnesses, administrative health care databases hold valuable information that could be used to monitor and assess the processes shaping the trajectory of care of chronic patients. In this context, temporal data mining methods are promising tools, though lacking flexibility in addressing the complex nature of medical events. Here, we present a new algorithm able to extract patient trajectory patterns with different levels of granularity by relying on external taxonomies. We show the interest of our approach with the analysis of trajectories of care for colorectal cancer using data from the French casemix information system.

Url:

https://api.istex.fr/ark:/67375/HCB-GJKXK453-8/fulltext.pdf

DOI: 10.1007/978-3-642-38326-7_37

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Istex, to step Corpus: 001023
to stream Istex, to step Curation: 001007
to stream Istex, to step Checkpoint: 000272
to stream Main, to step Merge: 001658
to stream Main, to step Curation: 001646

Le document en format XML

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An Approach for Mining Care Trajectories for Chronic Diseases

An Approach for Mining Care Trajectories for Chronic Diseases

Source :

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

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