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Women in Data Science Livermore Datathon 2024

Devulapally, A. ; Silva, M. S.

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Título:
Women in Data Science Livermore Datathon 2024
Autor: Devulapally, A. ; Silva, M. S.
Assuntos: BASIC BIOLOGICAL SCIENCES ; biological and medical sciences
Notas: AC52-07NA27344
LLNL-TR-860865
USDOE National Nuclear Security Administration (NNSA)
Descrição: The WiDS Datathon 2024 focuses on a prediction task using a roughly 39k record dataset (split into training and test sets) representing patients and their characteristics (age, race, BMI, zip code), their diagnosis and treatment information (breast cancer diagnosis code, metastatic cancer diagnosis code, metastatic cancer treatments, … etc.), their geo (zip-code level) demographic data (income, education, rent, race, poverty, …etc), as well as toxic air quality data (Ozone, PM25 and NO2) that tie health outcomes to environmental conditions. Each row in the data corresponds a single patient and her Diagnosis Period.
Editor: United States
Data de criação/publicação: 2024
Idioma: Inglês

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