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Dataset . 2023
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Dataset . 2023
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Dataset . 2023
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RegulaRN dataset

Authors: Tiago de Oliveira Barreto; Ricardo Alexsandro de Medeiros Valentim; Felipe Ricardo dos Santos Fernandes; Pablo Holanda Cardoso; Nícolas Vinícius Rodrigues Veras;

RegulaRN dataset

Abstract

Dataset name: regularn_dataset_metropolitana.xls and regularn_dataset_oeste.xls Version:1.0 Data collection period: 04/30/2020 - 08/02/2022 Dataset Characteristics: Multivalued Number of Instances: 25,366 Number of Attributes: 20 Missing Values: Yes Area(s):Health Sources: RegulaRN (https://regulacao.saude.rn.gov.br/sala-situacao/sala_publica/). Descriptions: The regularn_dataset_metropolitana.xls and regularn_dataset_oeste.xls dataset is part of a range of data from the RegulaRN platform. This was the platform used by the Brazilian state of Rio Grande do Norte, consisting of data involving the hospitalization process of patients with covid-19 and the respective regulation of beds for hospitalization of this patient. In addition to understanding all these aspects, the database also contains the patient's discharge or death information. Table 1: Description of Dataset Features. Database description: Collected data on the RegulaRN platform. Field Data type Description data_solicitacao object Represents the date a bed request was registered. municipio_paciente object Represents the patient's municipality. uf_paciente object Represents the patient's federal unit. gestante object 1 if the patient is pregnant; 0 if the patient is not pregnant. idade_gestacional float64 Describe how far along the pregnancy is, measured in weeks. idade float64 Represents patient age. tipo_caso object Represents whether the patient was "suspected", "confirmed" or "discarded" for covid-19. eup float64 Represents the EUP score value. com_iot object Represents whether or not the patient was in orotracheal intubation when requesting a bed. tp_leito_solicitado object Represents the type of bed that was selected by the regulation center for a patient. dt_entrada object Represents the date that the patient was allocated in the health unit (hospital). tp_leito_entrada object Represents the type of bed that the patient was allocated in the health unit (hospital). dt_saida object Represents the date that patient left the bed after the outcome. tp_leito_saida object Represents the type of bed the patient was in before the outcome. ti float64 Hospital length of stay, measured in days. desfecho object Represents the final outcome of the patient in bed solicitante object Represents the unit health that solicit a bed to the patient municipio_solicitante object Represents the municipality of the health unit that solicit the bed prestador object Represents the unit health that receive and internal the patient in the bed municipio_prestador object Represents the municipality of the health unit that receive and internal the patient in the bed

Keywords

covid-19, regularn, beds regulations

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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