Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study.

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第一作者： Canelle,Poirier

第一单位： Department of Pediatrics, Harvard Medical School, Boston, MA, United States.

作者： Canelle,Poirier ^[1] ; Guillaume,Bouzillé ^[2] ; Valérie,Bertaud ^[3] ; Marc,Cuggia ^[4] ; Mauricio,Santillana ^[5] ; Audrey,Lavenu ^[3]

作者单位： Department of Pediatrics, Harvard Medical School, Boston, MA, United States. ^[1] Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, United States. ^[2] Institut national de la santé et de la recherche médicale U1099, Rennes, France. ^[3] Laboratoire Traitement du Signal et de l'Image, Université de Rennes 1, Rennes, France. ^[4] Centre de Données Cliniques, Centre Hospitalier Universitaire Rennes, Rennes, France. ^[5] Harvard Tseng-Hsi Chan School of Public Health, Boston, MA, United States. ^[6] Machine Intelligence Group for the Betterment of Health and the Environment, Network Science Institute, Northeastern University, Boston, MA, United States. ^[7] Faculté de médecine, Université de Rennes 1, Rennes, France. ^[8] Institut de Recherche Mathématique de Rennes, Rennes, France. ^[9] Institut national de la santé et de la recherche médicale CIC 1414, Université de Rennes 1, Rennes, France. ^[10]

关键词 acute gastroenteritis digital data forecasting infectious disease machine learning machine learning in public health modeling modeling disease outbreaks public health

主题词人类(Humans);电子健康病历(Electronic Health Records);疾病暴发流行(Disease Outbreaks);公共卫生(Public Health);因特网(Internet);法国(France)

DOI 10.2196/34982

PMID 36719726

发布时间 2024-04-22

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JMIR public health and surveillance

2023年9卷

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Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study.

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Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study.

JMIR public health and surveillance

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JMIR public health and surveillance

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