IJRT_COVID-19 PATIENT RECOMMENDATION FOR LEVEL OF TREATMENTS USING PYTHON, DJANGO & MACHINE LEARNING
Keywords:
COVID-19, Machine Learning, Prediction, Data DashboardAbstract
The multidisciplinary essence of the effort required for research in the COVID-19 pandemic has built new challenges for health professionals in the battle against the virus. They need to be implemented with novel tools, applications, and resources that have arisen during the pandemic to gain access to breakthrough findings; know the latest developments; and address their specific requirements for rapid data acquisition, analysis, evaluation, and reporting. Because of the complex nature of the virus, healthcare systems worldwide are severely influenced as the treatment and the vaccine for COVID-19 disease are not yet determined. In this report, we confer our analysis of various novel and important web-based applications that have been specially developed during the COVID-19 pandemic and that can be used by the health professionals’ community to help in promoting their analysis and research.
These applications include search portals and their associated information repositories for literature and clinical analyses, data sources, tracking dashboards, and forecasting models. Also, the features used in our framework can be applied for future evaluations of similar applications and health professionals can accommodate them for evaluation of other applications not broadcasted in this analysis.
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