Data Analytics Approach to Addressing Children's Mental Health in the Pandemic Era
dc.contributor.author | Qiu, Alison | |
dc.date.accessioned | 2023-05-25T20:02:49Z | |
dc.date.available | 2023-05-25T20:02:49Z | |
dc.date.issued | 2023 | |
dc.description.abstract | This 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.citation | Qiu, 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.digital | qiu_alison_fondren_fellow_shapiro_showcase_presentation_2023_04 | |
dc.identifier.uri | https://hdl.handle.net/1911/114894 | |
dc.language.iso | eng | |
dc.publisher | Rice University | |
dc.rights | Copyright is held by the author | |
dc.title | Data Analytics Approach to Addressing Children's Mental Health in the Pandemic Era | |
dc.type | Presentation | |
dc.type.dcmi | Text |
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