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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Rahimeh, Eskandarian | - |
| dc.contributor.author | Roohallah, Alizadehsani | - |
| dc.contributor.author | Mohaddeseh, Behjati | - |
| dc.date.accessioned | 2023-05-22T01:29:37Z | - |
| dc.date.available | 2023-05-22T01:29:37Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s43069-022-00191-3 | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/8476 | - |
| dc.description | CC BY | vi |
| dc.description.abstract | Understanding clinical features and risk factors associated with COVID-19 mortality is needed to early identify critically ill patients, initiate treatments and prevent mortality. A retrospective study on COVID-19 patients referred to a tertiary hospital in Iran between March and November 2020 was conducted. COVID-19-related mortality and its association with clinical features including headache, chest pain, symptoms on computerized tomography (CT), hospitalization, time to infection, history of neurological disorders, having a single or multiple risk factors, fever, myalgia, dizziness, seizure, abdominal pain, nausea, vomiting, diarrhoea and anorexia were investigated. Based on the investigation outcome, decision tree and dimension reduction algorithms were used to identify the aforementioned risk factors. Of the 3008 patients (mean age 59.3 ± 18.7 years, 44% women) with COVID-19, 373 died. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | Mortality in COVID-19 Patients | vi |
| dc.title | Identification of Clinical Features Associated with Mortality in COVID-19 Patients | vi |
| dc.type | Book | vi |
| Appears in Collections | OER - Kinh tế và Quản lý | |
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