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Albert Einstein COVID-19 Challenge

Description: This dataset contains anonymized data from patients seen at the Hospital Israelita Albert Einstein, at São Paulo, Brazil, and who had samples collected to perform the SARS-CoV-2 RT-PCR and additional laboratory tests during a visit to the hospital.

All data were anonymized following the best international practices and recommendations. All clinical data were standardized to have a mean of zero and a unit standard deviation.

Content: This notebook presents an end-to-end solution for proposed tasks. Initially is analyzed missing data then propose a dataset based in original one. After that was developed an Exploratory Data Analysis and Predictive Analysis (answering the tasks) finishing the proposed solution.

Summarizing, this repository contains a submission for COVID-19 Challenge.

corona

Image Source: reddit Coronavírus Brasil (COVID-19)

Tasks submitted

✔️ Task 1 - Predict confirmed COVID-19 cases among suspected cases.

✔️ Task 2 - Predict admission to general ward, semi-intensive unit or intensive care unit among confirmed COVID-19 cases.

The final solution can be found here, the other notebook was the first version!

Links

Original dataset

Kaggle Submission

About

Submission for HIAE Kaggle's COVID-19 Challenge (1 of the 6 finalists among more than 130 works)

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