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

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dc.contributor.authorQiu, Alisonen_US
dc.date.accessioned2023-05-25T20:02:49Zen_US
dc.date.available2023-05-25T20:02:49Zen_US
dc.date.issued2023en_US
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.en_US
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>.en_US
dc.identifier.digitalqiu_alison_fondren_fellow_shapiro_showcase_presentation_2023_04en_US
dc.identifier.urihttps://hdl.handle.net/1911/114894en_US
dc.language.isoengen_US
dc.publisherRice Universityen_US
dc.rightsCopyright is held by the authoren_US
dc.titleData Analytics Approach to Addressing Children's Mental Health in the Pandemic Eraen_US
dc.typePresentationen_US
dc.type.dcmiTexten_US
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