Predictive Analysis of COVID-19 Data using Machine Learning

The COVID-19 pandemic has had far-reaching health consequences, including mental health issues and long-term physical symptoms. Mental health problems such as anxiety and depression have surged due to isolation and uncertainty. Concerns are rising regarding the pandemic's lasting impact on mental well-being. Furthermore, COVID-19 patients may experience persistent symptoms like fatigue and muscle weakness, affecting their long-term health. Leveraging machine learning (ML) techniques, and analyzing post-pandemic health impacts can reveal patterns and research insights. ML can utilize extensive data from electronic health records and public health databases to identify trends and potential future health issues. Additionally, ML models can monitor medical records and public health data, aiding in the swift detection and response to disease outbreaks by public health officials.