Author: Jit Sarkar; Partha Chakrabarti
Title: A Machine Learning Model Reveals Older Age and Delayed Hospitalization as Predictors of Mortality in Patients with COVID-19 Document date: 2020_3_30
ID: 0agldesf_4
Snippet: The dataset was downloaded from Kaggle (https://www.kaggle.com/sudalairajkumar/novelcorona-virus-2019-dataset#COVID19_line_list_data.csv) on 23 rd March, 2020. It contained a total of 1085 reported cases of COVID-19 from 13 th January to 28 th February, 2020. Missing values were removed for all the variables to obtain a dataset of 433 individuals. 3 cases were filtered out from the dataset as the date of hospital visit preceded the date of sympto.....
Document: The dataset was downloaded from Kaggle (https://www.kaggle.com/sudalairajkumar/novelcorona-virus-2019-dataset#COVID19_line_list_data.csv) on 23 rd March, 2020. It contained a total of 1085 reported cases of COVID-19 from 13 th January to 28 th February, 2020. Missing values were removed for all the variables to obtain a dataset of 433 individuals. 3 cases were filtered out from the dataset as the date of hospital visit preceded the date of symptom onset for them. Among the 430 cases selected finally from 22 countries in Asia, Australia, Europe and All rights reserved. No reuse allowed without permission. author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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