Analyzed data of SARS-CoV-2-RBV

Published: 17 January 2023| Version 1 | DOI: 10.17632/kdhwbw273g.1
Contributor:
Mehmet Tahir HUYUT

Description

In the Türkiye Republic Erzincan Binali Yıldırım Universitiy Mengücek Gazi Hospital, only the cases that were detected as SARS-CoV-2 by real-time reverse transcriptase polymerase chain reaction (RT-PCR) in nasopharyngeal or oropharyngeal swabs during the dates covered by this study were diagnosed with COVID-19. The research only included individuals over the age of 18. In order to prevent various complications, only RBV results at the first admission were recorded. In our data set, there are no individual characteristics (name-surname, identification number, etc.) that define the patients. As a matter of fact, it has been stated in previous studies that this pathogen can cause a serious respiratory disorder that requires special intervention in intensive care units (ICUs). First SARS-CoV-2-RBV data set (SARS-CoV-2-RBV1) includes the information of 2648 patients diagnosed with COVID-19 and receiving outpatient treatment in hospital on the specified dates, and the same number of patients (control group) whose COVID-19 tests were negative. The dataset contains 2 files:  File 1: SARS-CoV-2-RBV1.txt First column: Diagnosis. In the SARS-CoV-2-RBV1 data set, positive COVID-19 test results were coded as 1 and negative as 0 (COVID-19 = 1, non-COVID-19 = 0). Other columns futures are presented in Table 1. SARS-CoV-2-RBV1 dataset include immunological, hematological and biochemical RBV parameters and consists of 51 features.  File 2: SARS-CoV-2-RBV1.sav IBM SPSS Statistics format Second SARS-CoV-2-RBV data set (SARS-CoV-2-RBV2) includes the information of 3899 patients who were treated for COVID-19 in hospital on the specified dates. The treatment units of these patients at the first admission were examined. In the SARS-CoV-2-RBV2 dataset, there were n = 203 ICU and n = 3696 non-ICU COVID-19 patients. The dataset contains 2 files:  File 1: SARS-CoV-2-RBV2.txt First column: Treatment Units/Service (ICU or non-ICU). In the SARS-CoV-2-RBV2 dataset, severely infected (ICU) COVID-19 patients were coded as 1, while mildly infected (non-ICU) COVID-19 patients were coded as 0. Other columns futures are presented in Table 2. SARS-CoV-2-RBV2 dataset include immunological, hematological and biochemical RBV parameters and consists of 51 features.  File 2: SARS-CoV-2-RBV2.sav IBM SPSS Statistics format Grant of License We grant You a non-exclusive, non-transferable, revocable license to use the SARS-CoV-2-RBV Dataset solely for Your non-commercial, educational, and research purposes only, but without any right to copy or reproduce, publish or otherwise make available to the public or communicate to the public, sell, rent or lend the whole or any constituent part of the SARS-CoV-2-RBV Dataset thereof. Kindly cite our paper when you wish to use this dataset: Huyut, M.T.; Velichko, A. Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural Network. Sensors 2022, 22

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Institutions

Erzincan Universitesi Tip Fakultesi

Categories

Health Sciences, Artificial Intelligence Applications, Artificial Intelligence Diagnostics, Clinical Research

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