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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(2023)10.2196/34982Source: DataRank Database

Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study is a research paper published in JMIR Public Health and Surveillance (2023). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (1 grants)OA: goldTopics (15)IDs (PubMed, PMC)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Guillaume Bouzillé ORCID,Valérie Bertaud ORCID,Marc Cuggia ORCID,Mauricio Santillana ORCID,Audrey Lavenu ORCID

Live enrichment

PubMed:36719726 PMC:PMC9929730

NIGMS NIH HHS

Grant: R01 GM130668

goldLicense: cc-by

publisherhttps://publichealth.jmir.org/2023/1/e34982/PDF

publisherhttps://publichealth.jmir.org/2023/1/e34982

repositoryhttps://hal.science/hal-03970383/document

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9929730

repositoryhttps://doaj.org/article/6c40d632a18a4dd4bcce5bc9f6ca9b06

MeSH Terms

HumansPublic HealthDisease OutbreaksInternetFranceElectronic Health Records

Keywords

ModelingForecastingInfectious diseasePublic HealthMachine LearningAcute GastroenteritisDigital DataModeling Disease OutbreaksMachine Learning In Public Health