Fuzzy based classification and COVID-19 Patient’s Data analysis

Authors

  • Manisha Shinde-Pawar
  • Alok Shah
  • Madhumita Nayak
  • S. A. Jadhav
  • Akhilesh Jadhav
  • Dhanashree Sahasrabuddhe
  • Shabana Memon
  • Anjali Gaikwad

DOI:

https://doi.org/10.47750/pnr.2022.13.03.054

Keywords:

COVID-19, decision making, Fuzzy Logic, pattern, medical stakeholders.

Abstract

COVID-19 respiratory viral disease has changed the entire research communities’ focus towards Diseases, Health Care, Treatment and related resources decision making and services. Fuzzy approach gives simplification and improvement in processing logic and speed applied to Data analytics and testing of algorithm for different business purposes may be future research domain. Significant COVID-19 analytics can help to classify and prioritize the resources the future consequences to take enhanced self-ruled decisions, to recognise and design pattern in data spread to design strategic policies for medical, health care units and stakeholders.

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Published

2022-09-20

Issue

Section

Articles

How to Cite

Fuzzy based classification and COVID-19 Patient’s Data analysis. (2022). Journal of Pharmaceutical Negative Results, 13(3), 339-354. https://doi.org/10.47750/pnr.2022.13.03.054