InforLorV4, Ncbi, Curation, bibRecord, 000158

Linked Data and Online Classifications to Organise Mined Patterns in Patient Data

Identifieur interne : 000158 ( Ncbi/Curation ); précédent : 000157; suivant : 000159

Linked Data and Online Classifications to Organise Mined Patterns in Patient Data

Auteurs : Nicolas Jay [France] ; Mathieu D Quin [Royaume-Uni]

Source :

AMIA Annual Symposium Proceedings [ 1942-597X ] ; 2013.

RBID : PMC:3900210

Descripteurs français

KwdFr :
- Dossiers médicaux électroniques, Fouille de données (), Hospitalisation, Humains, Intelligence artificielle, Internet, Reconnaissance automatique des formes.
MESH :
- Dossiers médicaux électroniques, Fouille de données, Hospitalisation, Humains, Intelligence artificielle, Internet, Reconnaissance automatique des formes.

English descriptors

KwdEn :
- Artificial Intelligence, Data Mining (methods), Electronic Health Records, Hospitalization, Humans, Internet, Pattern Recognition, Automated.
MESH :
- methods : Data Mining.
- Artificial Intelligence, Electronic Health Records, Hospitalization, Humans, Internet, Pattern Recognition, Automated.

Abstract

In this paper, we investigate the use of web data resources in medicine, especially through medical classifications made available using the principles of Linked Data, to support the interpretation of patterns mined from patient care trajectories. Interpreting such patterns is naturally a challenge for an analyst, as it requires going through large amounts of results and access to sufficient background knowledge. We employ linked data, especially as exposed through the BioPortal system, to create a navigation structure within the patterns obtained form sequential pattern mining. We show how this approach provides a flexible way to explore data about trajectories of diagnoses and treatments according to different medical classifications.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900210

PubMed: 24551369
PubMed Central: 3900210

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PMC:3900210

Le document en format XML

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Linked Data and Online Classifications to Organise Mined Patterns in Patient Data

Linked Data and Online Classifications to Organise Mined Patterns in Patient Data

Source :

Descripteurs français

English descriptors

Abstract

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

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki