Data Analysis of COVID-19 Hospital Records Using Contextual Patient Classification System

Vrushabh Gada, Madhura Shegaonkar, Madhura Inamdar, Sharath Dinesh, Darshan Sapariya, Vedant Konde, Mahesh Warang and Ninad Mehendale ()
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Vrushabh Gada: K. J. Somaiya College of Engineering
Madhura Shegaonkar: K. J. Somaiya College of Engineering
Madhura Inamdar: K. J. Somaiya College of Engineering
Sharath Dinesh: K. J. Somaiya College of Engineering
Darshan Sapariya: K. J. Somaiya College of Engineering
Vedant Konde: K. J. Somaiya College of Engineering
Mahesh Warang: K. J. Somaiya College of Engineering
Ninad Mehendale: K. J. Somaiya College of Engineering

Annals of Data Science, 2022, vol. 9, issue 5, No 4, 945-965

Abstract: Abstract Humanity today is suffering from one of the most dangerous pandemics in history, the Coronavirus Disease of 2019 (COVID-19). Although today there is immense advancement in the medical field with the latest technology, the COVID-19 pandemic has affected us severely. The virus is spreading rapidly, resulting in an escalation in the number of patients admitted. We propose a contextual patient classification system for better analysis of the data from the discharge summary available from the research hospital. The classification was done using the Knuth–Morris–Pratt algorithm. We have also analyzed the data of COVID-19 and non-COVID-19 patients. During the analysis, studies on the medicines, medical services and tests, pulse count, body temperature, and the overall effect of age and gender was done. The death versus survival ratio for the COVID-19 positive patients has also been studied. The classification accuracy of the contextual patient classification system achieved was 97.4%. The combination of data analysis and contextual patient classification will be helpful to all the sectors to be better prepared for any future waves of the COVID-19 pandemic.

Keywords: Data analysis; Patient classification system; Contextual search (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s40745-022-00378-9

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