Volltext-Artikel, E-Books und Literaturhinweise aus dem EBSCO Discovery Service
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von Mathilde Fruchart ; Paul Quindroit ; Chloé Jacquemont ; et al.
JMIR Medical Informatics, Vol 12, Pp e49542-e49542 (2024)
Schlagworte: Computer applications to medicine. Medical informatics; R858-859.7
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von Lamer, Antoine ; Oubenali, Naima ; Marcilly, Romaric ; et al.
Schlagworte: Education; Training; Curriculum; Alumni; Data Science; Healthcare
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von Fruchart, Mathilde ; Lamer, Antoine ; Lemaitre, Madleen ; et al.
Schlagworte: Diabetes mellitus; primary care; general practitioner; data reuse
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von Lamer, Antoine ; Fruchart, Mathilde ; Paris, Nicolas ; et al.
Schlagworte: feature extraction; data reuse; data warehouse; database; algorithm; Observation Medical Outcomes Partnership
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von Fruchart, Mathilde ; El Idrissi, Fatima ; Lamer, Antoine ; et al.
Schlagworte: Data reuse; early symptoms; health communication; natural language processing; patient expertise; social media
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von Fruchart, Mathilde ; Verdier, Laetitia ; Beuscart, Jean-Baptiste ; et al.
Schlagworte: social media; nursing home; Twitter; topic modeling; orpea; data reuse
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von Mathilde Fruchart ; Fatima El Idrissi ; Antoine Lamer ; et al.
Digital Health, Vol 9 (2023)
Schlagworte: Computer applications to medicine. Medical informatics; R858-859.7
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von El Idrissi, Fatima ; Fruchart, Mathilde ; Belarbi, Karim-Ali ; et al.
Schlagworte: endometrium; cell signaling; female infertility; systems biology; text-mining
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von Lamer, Antoine ; Al Massati, Sanae ; Saint-Dizier, Chloé ; et al.
Schlagworte: Education; Data Science; Data reuse; Data management; Programming
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von Lamer, Antoine ; Oubenali, Naima ; Marcilly, Romaric ; et al.
Digital Professionalism in Health and Care: Developing the Workforce, Building the Future ; https://hal.science/hal-03778151 ; Digital Professionalism in Health and Care: Developing the Workforce, Building the Future, IOS Press, 2022, Studies in Health Technology and Informatics
Schlagworte: [SPI]Engineering Sciences [physics]
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13
von Fruchart, Mathilde ; Lamer, Antoine ; Lemaitre, Madleen ; et al.
ISSN: 0926-9630.
Schlagworte: data reuse; general practitioner; primary care; Diabetes mellitus; [SDV]Life Sciences [q-bio]
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von Antoine Lamer ; Mathilde Fruchart ; Nicolas Paris ; et al.
JMIR Medical Informatics, Vol 10, Iss 10, p e38936 (2022)
Schlagworte: Computer applications to medicine. Medical informatics; R858-859.7
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15
von Fatima El Idrissi ; Mathilde Fruchart ; Karim Belarbi ; et al.
Frontiers in Endocrinology, Vol 13 (2022)
Schlagworte: endometrium; cell signaling; female infertility; systems biology; text-mining; Diseases of the endocrine glands. Clinical endocrinology; RC648-665
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von Fruchart, Mathilde ; Verdier, Laetitia ; Beuscart, Jean-Baptiste ; et al.
ISSN: 0926-9630.
Schlagworte: data reuse; orpea; topic modeling; Twitter; nursing home; social media; [SDV]Life Sciences [q-bio]
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von Patel, Haris ; Patel, Riyâz ; Zitouni, Djamel ; et al.
ISSN: 0926-9630.
Schlagworte: [SDV]Life Sciences [q-bio]
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von Fruchart, Mathilde ; Quindroit, Paul ; Patel, Haris ; et al.
ISSN: 0926-9630.
Schlagworte: [SDV]Life Sciences [q-bio]
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von Fruchart, Mathilde ; Guinhouya, Benjamin ; Pelayo, Sylvie ; et al.
ISSN: 0926-9630.
Schlagworte: [SDV]Life Sciences [q-bio]
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von Lamer, Antoine ; Al Massati, Sanae ; Saint-Dizier, Chloé ; et al.
ISSN: 0926-9630.
Schlagworte: Education; Data Science; Data reuse; Data management; Programming; [SDV]Life Sciences [q-bio]
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von Quindroit, Paul ; Fruchart, Mathilde ; Degoul, Samuel ; et al.
Schlagworte: data quality; database; dirty data; taxonomy; data reuse
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von Fruchart, Mathilde ; Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS) ; Université de Lille-Centre Hospitalier Régional Universitaire CHU Lille (CHRU Lille) ; et al.
https://theses.hal.science/tel-04893586 ; Médecine humaine et pathologie. Université de Lille, 2024. Français. ⟨NNT : 2024ULILS040⟩.
Schlagworte: Dashboard; Multidisciplinary health center (MHC); Primary care; OMOP common data model; Extract-Transform-Load (ETL); Data reuse; Tableau de bord; Maison de Santé Pluridisciplinaire (MSP); Soins premiers; Modèle de données commun OMOP; Réutilisation des données; [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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