Výsledky vyhledávání - "Svetlana, Artemova"

Akademický článek

Early prediction of in-hospital mortality utilizing multivariate predictive modelling of electronic medical records and socio-determinants of health of the first day of hospitalization

Autor: Daniel Stoessel, Rui Fa, Svetlana Artemova, Ursula von Schenck, Hadiseh Nowparast Rostami, Pierre-Ephrem Madiot, Caroline Landelle, Fréderic Olive, Alison Foote, Alexandre Moreau-Gaudry, Jean-Luc Bosson

Publikováno v: BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-14 (2023)

Abstract Background In France an average of 4% of hospitalized patients die during their hospital stay. To aid medical decision making and the attribution of resources, within a few days of admission the identification of patients at high risk of dyi

Externí odkaz: https://doaj.org/article/d96cf461448a40c1b58d9b4ea1663180

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Akademický článek

Cohort profile for development of machine learning models to predict healthcare-related adverse events (Demeter): clinical objectives, data requirements for modelling and overview of data set for 2016–2018

Autor: Caroline Landelle, Ursula von Schenck, Jean-Luc Bosson, Christophe Cancé, Svetlana Artemova, Rui Fa, Daniel Stoessel, Hadiseh Nowparast Rostami, Pierre-Ephrem Madiot, Jean-Marie Januel, Daniel Pagonis, Meghann Gallouche, Frederic Olive, Alexandre Moreau-Gaudry, Sigurd Prieur

Publikováno v: BMJ Open, Vol 13, Iss 8 (2023)

Purpose In-hospital health-related adverse events (HAEs) are a major concern for hospitals worldwide. In high-income countries, approximately 1 in 10 patients experience HAEs associated with their hospital stay. Estimating the risk of an HAE at the i

Externí odkaz: https://doaj.org/article/07123d31bb3f4e519b801559ae203acb

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Akademický článek

Sarcopenia diagnosis: comparison of automated with manual computed tomography segmentation in clinical routine

Autor: Louise Caudron, Alexandre Bussy, Svetlana Artemova, Katia Charrière, Salma El Lakkiss, Alexandre Moreau‐Gaudry, Jean‐Luc Bosson, Gilbert R. Ferretti, Eric Fontaine, Cécile Bétry

Publikováno v: JCSM Rapid Communications, Vol 4, Iss 2, Pp 103-110 (2021)

Abstract Background Cross‐sectional muscle area (CSMA) at the mid third lumbar vertebra (L3) can be used for sarcopenia diagnosis. The measurement of CSMA is time‐consuming and thus restricted to clinical research. We aimed to compare the automat

Externí odkaz: https://doaj.org/article/ce7d5bea702e4856867724526c804f9b

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Akademický článek

Assessing Adherence to Healthy Dietary Habits Through the Urinary Food Metabolome: Results From a European Two-Center Study

Publikováno v: Frontiers in Nutrition, Vol 9 (2022)

BackgroundDiet is one of the most important modifiable lifestyle factors in human health and in chronic disease prevention. Thus, accurate dietary assessment is essential for reliably evaluating adherence to healthy habits.ObjectivesThe aim of this s

Externí odkaz: https://doaj.org/article/25b7c63d1c6645d0914a792ec85296d0

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Sarcopenia diagnosis: comparison of automated with manual computed tomography segmentation in clinical routine

Autor: Cécile Bétry, Katia Charrière, Svetlana Artemova, Gilbert Ferretti, Alexandre Moreau-Gaudry, Jean-Luc Bosson, Alexandre Bussy, Eric Fontaine, Salma El Lakkiss, Louise Caudron

Publikováno v: JCSM Rapid Communications, Vol 4, Iss 2, Pp 103-110 (2021)

Background Cross‐sectional muscle area (CSMA) at the mid third lumbar vertebra (L3) can be used for sarcopenia diagnosis. The measurement of CSMA is time‐consuming and thus restricted to clinical research. We aimed to compare the automatic module

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::314cf6b1be38d2455ae52273ab89e85e
https://doaj.org/article/ce7d5bea702e4856867724526c804f9b

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Hypergraph Based Data Model for Complex Health Data Exploration and Its Implementation in PREDIMED Clinical Data Warehouse

Autor: Christophe, Cancé, Christian, Lenne, Svetlana, Artemova, Pascal, Mossuz, Alexandre, Moreau-Gaudry, Pierre-Ephrem, Madiot

Publikováno v: Studies in health technology and informatics. 290

Within the PREDIMED Clinical Data Warehouse (CDW) of Grenoble Alpes University Hospital (CHUGA), we have developed a hypergraph based operational data model, aiming at empowering physicians to explore, visualize and qualitatively analyze interactivel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::24a010e5feacb594fe303a07a0f28471
https://pubmed.ncbi.nlm.nih.gov/35673030

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COVID-19 Geographical Maps and Clinical Data Warehouse PREDIMED

Autor: Svetlana, Artemova, Alban, Caporossi, Christophe, Cancé, Pierre-Ephrem, Madiot, Benjamin, Nemoz, Sylvie, Larrat, Alexandre, Moreau-Gaudry, Jean-Luc, Bosson

Publikováno v: Studies in health technology and informatics. 290

PREDIMED, Clinical Data Warehouse of Grenoble Alps University Hospital, is currently participating in daily COVID-19 epidemic follow-up via spatial and chronological analysis of geographical maps. This monitoring is aimed for cluster detection and vu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::7228ec2b8f5159b706d73ec1046f90a3
https://pubmed.ncbi.nlm.nih.gov/35673198

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ODIASP: Clinically Contextualized Image Analysis Using the PREDIMED Clinical Data Warehouse, Towards a Better Diagnosis of Sarcopenia

Autor: Katia, Charrière, Pierre-Ephrem, Madiot, Svetlana, Artemova, Pungponhavoan, Tep, Christian, Lenne, Brigitte, Cohard, Alban, Caporossi, Isabelle, Boudry, Juliette, Meyzenc, Gilbert, Ferretti, Ivan, Bricault, Joris, Giai, Jean-Luc, Bosson, Eric, Fontaine, Cécile, Bétry, Alexandre, Moreau-Gaudry

Publikováno v: Studies in health technology and informatics. 290

Big Data and Deep Learning approaches offer new opportunities for medical data analysis. With these technologies, PREDIMED, the clinical data warehouse of Grenoble Alps University Hospital, sets up first clinical studies on retrospective data. In par

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::4ae4c96a00c6c1b7e1aed624182ad100
https://pubmed.ncbi.nlm.nih.gov/35673209

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