Machine learning based model to predict the disease severity and outcome in covid-19 patients
- 1. Machine Learning-Based Model to Predict the Disease Severity and Outcome in Covid-19 Patients
- 2. Agenda • Introduction • Problem Statement • Literature Survey • Objective • Motivation
- 3. Introduction Coronaviruses are a large family of viruses that are known to cause illness ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). A novel coronavirus (COVID-19) was identified in 2019 in Wuhan, China.
- 4. Problem Statement Its 25th March Afternoon and India has reported its 9th death with 562 total confirmed cases due to COVID-19. Fresh cases from Manipur, Bihar, Gujrat, and Madhya Pradesh have been reported by the Union Ministry of Health and Family Welfare . As the coronavirus outbreak continues to spread in the country, the question that we as Indians are trying to answer is: "Will India be able to tackle this pandemic or are we going to witness another Italy/ S.Korea/ Wuhan?"
- 5. Literature Survey Authors Journal Outbreak Infection Machine Learning Ruirui Liang Transboundary and Emerging Diseases Swine fever Random Forest R Gupta Infection Disease Modelling Dengue Classification & Regression tree (CART)
- 6. Objective of the Research We need a strong model that predicts how the virus could spread across different countries and regions. The goal of this task is to build a model that predicts the spread of the virus in the next 7 days.
- 7. Tasks to be Performed • Analysing the present condition in India • Is this trend similar to Italy/S. Korea/ Wuhan • Exploring the world wide data • Forecasting the world wide COVID-19 cases using Prophet
- 8. Motivation
- 11. Related Work We will analyse the outbreak of coronavirus across various regions, visualize them using charts and graphs and predict the number of upcoming cases for the next 10 days using Linear Regression and SVM model in Python.
- 12. Conclusion COVID-19 is still an unclear infectious disease, which means we can only obtain an accurate SEIR prediction after the outbreak ends. The outbreak spreads are largely influenced by each country’s policy and social responsibility. As data transparency is crucial inside the government, it is also our responsibility not to spread unverified news and to remain calm in this situation. The Machine Learning-Based Model to Predict the Disease Severity and Outcome in Covid-19 Patients project has shown the importance of information dissemination that can help in improving response time, and help planning in advance to help reduce risk. Further studies need to be done to help contain the outbreak as soon as possible.
- 13. • Presented By Ayana Rukasar