Abstract
Develop a holistic solution which will help define the impact of the pre-existing diseases have on COVID-19, by detailed analysis of the patient level dataset with their preexisting conditions along with their vital health information as well as age group along with the COVID-19 impact to them; The analysis is going to involve around how each disease impacts the patients infection rate, the group of disease based on the analysis done based on the patients in Einstein Hospital in Brazil up until 28th March 2020; Analysis involves endpoints such as admission of the patients to regular ward, semi-ICU or in the ICU. The other endpoints also involved around the various vitals of the patients such as Hemoglobin, platelet counts etc. besides looking at the existing conditions of the patient and the final outcome based on the same.
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Darapaneni, N., Arul, M., Paduri, A. R., Meenakshisundaram, V., Srinivasan, P., Joseph, N., & Sharma, D. (2020). Comorbidity Impact on COVID-19. In Proceedings of the 2020 IEEE International Conference on Machine Learning and Applied Network Technologies, ICMLANT 2020. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICMLANT50963.2020.9355994
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