\"Book Music\" Representation for Temporal ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
PMID :
URL permanente :
Titre :
\"Book Music\" Representation for Temporal Data, as a Part of the Feature Extraction Process: A Novel Approach to Improve the Handling of Time-Dependent Data in Secondary Use of Healthcare Structured Data.
Auteur(s) :
Chazard, Emmanuel [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Balaye, Pierre [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Balcaen, Thibaut [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Genin, Michaël [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Cuggia, Marc [Auteur]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Bouzille, Guillaume [Auteur]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Lamer, Antoine [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Balaye, Pierre [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Balcaen, Thibaut [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Genin, Michaël [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Cuggia, Marc [Auteur]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Bouzille, Guillaume [Auteur]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Lamer, Antoine [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Titre de la revue :
Studies in Health Technology and Informatics
Nom court de la revue :
Stud Health Technol Inform
Numéro :
290
Pagination :
567-571
Date de publication :
2022-06-14
ISSN :
1879-8365
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Résumé en anglais : [en]
Book music is extensively used in street organs. It consists of thick cardboard, containing perforated holes specifying the musical notes. We propose to represent clinical time-dependent data in a tabular form inspired ...
Lire la suite >Book music is extensively used in street organs. It consists of thick cardboard, containing perforated holes specifying the musical notes. We propose to represent clinical time-dependent data in a tabular form inspired from this principle. The sheet represents a statistical individual, each row represents a binary time-dependent variable, and each hole denotes the "true" value. Data from electronic health records or nationwide medical-administrative databases can then be represented: demographics, patient flow, drugs, laboratory results, diagnoses, and procedures. This data representation is suitable for survival analysis (e.g., Cox model with repeated outcomes and changing covariates) and different types of temporal association rules. Quantitative continuous variables can be discretized, as in clinical studies. The "book music" approach could become an intermediary step in feature extraction from structured data. It would enable to better account for time in analyses, notably for historical cohort analyses based on healthcare data reuse.Lire moins >
Lire la suite >Book music is extensively used in street organs. It consists of thick cardboard, containing perforated holes specifying the musical notes. We propose to represent clinical time-dependent data in a tabular form inspired from this principle. The sheet represents a statistical individual, each row represents a binary time-dependent variable, and each hole denotes the "true" value. Data from electronic health records or nationwide medical-administrative databases can then be represented: demographics, patient flow, drugs, laboratory results, diagnoses, and procedures. This data representation is suitable for survival analysis (e.g., Cox model with repeated outcomes and changing covariates) and different types of temporal association rules. Quantitative continuous variables can be discretized, as in clinical studies. The "book music" approach could become an intermediary step in feature extraction from structured data. It would enable to better account for time in analyses, notably for historical cohort analyses based on healthcare data reuse.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
CHU Lille
CHU Lille
Date de dépôt :
2023-11-15T03:58:14Z
2024-01-16T12:21:05Z
2024-01-16T12:21:05Z
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