Data Mining Approach to Analyze Covid19 Dataset of Brazilian Patients

Abstract

The pandemic originated by coronavirus(covid19), name coined by World Health Organization during the first month in 2020. Actually, almost all the countries presented covid19 positive cases and govern- ments are choosing different health policies to stop the infection and many research groups are working on patients data to understand the virus, at the same time scientists are looking for a vacuum to enhance imnulogy system to tack covid19 virus. One of top countries with more infections is Brazil, until August 11 had a total of 3,112,393 cases. Re- search Foundation of Sao Paulo State(Fapesp) released a dataset, it was an innovative in collaboration with hospitals(Einstein, Sirio-Libanes), laboratory(Fleury) and Sao Paulo University to foster reseach on this trend topic. The present paper presents an exploratory analysis of the datasets, using a Data Mining Approach, and some inconsistencies are found, i.e. NaN values, null references values for analytes, outliers on re- sults of analytes, encoding issues. The results were cleaned datasets for future studies, but at least a 20% of data were discarded because of non numerical, null values and numbers out of reference range.

Exploratory Analysis of COVID-19 Patients Usingprincipal Component Analysis, Feature Selection and Predictive Algorithms

“…The authors of [9] discuss common problems with using open data sources in the context of COVID-19 research. Data mining techniques are necessarily limited due to inconsistencies and outliers present in routine clinical datasets [10] and the lack of standardization in the data collection process.…”

“…In [9] it is discussed common problems with open data sources of COVID19. The authors of [10] explored the FAPESP dataset using limited data mining techniques and discuss inconsistencies and outliers present in this dataset, given that the data is not standardized between institutions. Another working paper [11] discusses correlations between age, sex and Systemic Inflammation in Individuals with COVID-19.…”

Використання Цифрової Платформи Для Запобігання Нового Спалаху Пандемії Covid-19

“…Аналіз останніх досліджень і невирішена частина проблеми. Проведений аналіз літературних джерел довів, що для захисту суспільства від вірусу необхідно вживати заходів не тільки з фізичного дистанціювання [1], а й використання інформаційних технологій щодо розриву ланцюжків передачі і зменшення поширення SARS-CoV-2 [2]. Цифрові інструменти для поліпшення боротьби з інфекційними захворюваннями і епідеміями з серйозними наслідками почали розроблятися вченими ще до пандемії COVID-19 [3].…”