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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM24504
Volume:
7 |
7 |
Jul 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The COVID-19 pandemic, caused by the coronavirus, rapidly spread worldwide. Assessing the severity of the illness can be facilitated by considering various laboratory markers and comorbidities. Early detection of disease progression in severe COVID-19 cases is crucial for effective patient triaging. Our research focused on examining the characteristics, significance, and purpose of laboratory results and comorbidities regarding the severity and progression of COVID-19 in individuals. The study was conducted between early January and mid-April 2022, involving 31 individuals who provided blood samples and clinical information at the District Hospital in Pulwama, Jammu, and Kashmir. Various biological indicators, including total blood count, ESR, CBC, D-dimer, CRP, serum ferritin, SpO2, blood sugar, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP), were analyzedin this experiment. KEY –TERMS In the realm of analyzing patient data related to the unique coronavirus in India, various terms come into play, such as data science, data analysis, predictions, trend analysis, forecasting, data mining, network analysis, pattern mining, rule mining, classification, cluster analysis, lockdown, social Distancing, and degree centrality
KEYWORDS
Publication Date
11/6/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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