Data Analytics Approach to Addressing Children's Mental Health in the Pandemic Era

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dc.contributor.authorQiu, Alison
dc.date.accessioned2023-05-25T20:02:49Z
dc.date.available2023-05-25T20:02:49Z
dc.date.issued2023
dc.description.abstractThis is a presentation of the project "Data Analytics Approach to Addressing Children's Mental Health in the Pandemic Era" which was presented by its author at the 2023 Shapiro Showcase event at Rice University. The project employed a code-based "data pipeline" to process bulk healthcare data and to yield usable statistical results. In this case, the dataset is a collection of medical wellbeing surveys taken during the COVID 19 pandemic, with the goal of extracting statistically relevant predictors for adult and child mental health scores.
dc.identifier.citationQiu, Alison. "Data Analytics Approach to Addressing Children's Mental Health in the Pandemic Era." (2023) Rice University: <a href="https://hdl.handle.net/1911/114894">https://hdl.handle.net/1911/114894</a>.
dc.identifier.digitalqiu_alison_fondren_fellow_shapiro_showcase_presentation_2023_04
dc.identifier.urihttps://hdl.handle.net/1911/114894
dc.language.isoeng
dc.publisherRice University
dc.rightsCopyright is held by the author
dc.titleData Analytics Approach to Addressing Children's Mental Health in the Pandemic Era
dc.typePresentation
dc.type.dcmiText
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