[HTML][HTML] Laboratory indicators in COVID-19 and other pneumonias: Analysis for differential diagnosis and comparison of dynamic changes during 400-day follow-up

J Wang, Y Zheng, Y Chen, X Hu, M Peng… - Computational and …, 2021 - Elsevier
Background COVID-19 is spreading rapidly all over the world, the patients' symptoms can be
easily confused with other pneumonia types. Therefore, it is valuable to seek a laboratory …

Differential diagnosis and prospective grading of COVID-19 at the early stage with simple hematological and biochemical variables

L Song, EY Liang, HM Wang, Y Shen, CM Kang… - … and Infectious Disease, 2021 - Elsevier
We evaluated simple laboratory variables to discriminate COVID-19 from bacterial
pneumonia or influenza and for the prospective grading of COVID-19. Multivariate logistic …

[HTML][HTML] Laboratory Testing Implications of Risk-Stratification and Management of COVID-19 Patients

C Liu, Z Wang, W Wu, C Xiang, L Wu, J Li… - Frontiers in …, 2021 - frontiersin.org
Objective: To distinguish COVID-19 patients and non-COVID-19 viral pneumonia patients
and classify COVID-19 patients into low-risk and high-risk at admission by laboratory …

[HTML][HTML] Machine learning–aided algorithm design for prediction of severity from clinical, demographic, biochemical and immunological parameters: Our COVID-19 …

S Kumari, S Tripathy, S Nayak… - Journal of Family …, 2024 - journals.lww.com
Background: The severity of laboratory and imaging finding was found to be inconsistent
with clinical symptoms in COVID-19 patients, thereby increasing casualties. As compared to …

Predictive prognostic biomarkers in patients with COVID‑19 infection

S Fukui, K Ikeda, M Kobayashi… - Molecular …, 2023 - spandidos-publications.com
The present study aimed to identify useful biomarkers to predict deterioration in patients with
coronavirus disease 2019 (COVID‑19). A total of 201 COVID‑19 patients were classified …

Diagnosis and prediction of COVID-19 severity: can biochemical tests and machine learning be used as prognostic indicators?

A de Fátima Cobre, DP Stremel, GR Noleto… - Computers in biology …, 2021 - Elsevier
Objective This study aimed to implement and evaluate machine learning based-models to
predict COVID-19'diagnosis and disease severity. Methods COVID-19 test samples (positive …

[HTML][HTML] Clinical analysis of severe COVID-19 patients

H Wang, B Sun, X Li, Y Wang… - Technology and Health …, 2022 - content.iospress.com
BACKGROUND: Patients with unexplained pneumonia appeared in Wuhan, Hubei Province
at the end of 2019. OBJECTIVE: To analyze the clinical data of patients with severe COVID …

[HTML][HTML] Research on influencing factors and classification of patients with mild and severe COVID-19 symptoms

X Chen, L Zheng, S Ye, M Xu, YL Li, KX Lv… - Frontiers in Cellular …, 2021 - frontiersin.org
Objective To analyze the epidemiological history, clinical symptoms, laboratory testing
parameters of patients with mild and severe COVID-19 infection, and provide a reference for …

Comparative analysis of laboratory indexes of severe and non-severe patients infected with COVID-19

J Bao, C Li, K Zhang, H Kang, W Chen, B Gu - Clinica chimica acta, 2020 - Elsevier
Background The pandemic coronavirus disease 2019 (COVID-19) has threaten the global
health. The characteristics of laboratory findings of coronavirus are of great significance for …

Analysis of prediction and early warning indexes of patients with COVID-19

L Song, Y Dong, M Xu, D Shi, W Guo, Y Li… - Expert Review of …, 2020 - Taylor & Francis
Background The aim was to compare the laboratory data of patients with suspected and
confirmed new coronavirus pneumonia (COVID-19) and look for diagnostic predictive and …