Machine learning approach for confirmation of COVID-19 cases: positive, negative, death and release
Journal Title: Iberoamerican Journal of Medicine - Year 2020, Vol 2, Issue 3
Abstract
Introduction: Corona Virus Infectious Disease (COVID-19) is the infectious disease. The COVID-19 disease came to earth in early 2019. It is expanding exponentially throughout the world and affected an enormous number of human beings starting from the last month. The World Health Organization (WHO) on March 11, 2020 declared COVID-19 was characterized as “Pandemic”. This paper proposed approach for confirmation of COVID-19 cases after the diagnosis of doctors. The objective of this study uses machine learning method to evaluate how much predicted results are close to original data related to Confirmed-Negative-Released-Death cases of COVID-19. Materials and methods: For this purpose, a verification method is proposed in this paper that uses the concept of Deep-learning Neural Network. In this framework, Long shrt-term memory (LSTM) and Gated Recurrent Unit (GRU) are also assimilated finally for training the dataset. The prediction results are tally with the results predicted by clinical doctors. Results: The results are obtained from the proposed method with accuracy 87 % for the “confirmed Cases”, 67.8 % for “Negative Cases”, 62% for “Deceased Case” and 40.5 % for “Released Case”. Another important parameter i.e. RMSE shows 30.15% for Confirmed Case, 49.4 % for Negative Cases, 4.16 % for Deceased Case and 13.72 % for Released Case. Conclusions: The outbreak of Coronavirus has the nature of exponential growth and so it is difficult to control with limited clinical persons for handling a huge number of patients within a reasonable time. So it is necessary to build an automated model, based on machine learning approach, for corrective measure after the decision of clinical doctors.
Authors and Affiliations
Shawni Dutta, Samir Kumar Bandyopadhyay
Antibiotic resistance pattern of bacteria isolated from patients with upper respiratory tract infections; a four-year study in Tripoli city
Introduction: Respiratory tract infections have been known to be a significant health concern for mortality and morbidity since many years. This study was aimed at determining the prevalence of bacterial pathogen causing...
How to Design and Apply an Objective Structured Clinical Examination (OSCE) in Medical Education?
The Objective Structured Clinical Examination (OSCE) is considered a gold standard summative and formative assessment method wherein it is a comprehensive and standardized tool assessing the clinical competencies includi...
Idiopathic eruptive macular pigmentation: a rare self-limited dermatosis
..........
Critical Care Nursing
Everyday routine jobs, as well as suddenly specific situations, as well as severe medical conditions of a nurse, can be considerably psychophysically exhausted. It is therefore important for nurses to find a model to dea...
The possible role of PtdIns(4,5)P2 and PtdIns(3,4,5)P3 at the leading and trailing edges of the breast cancer cell line
Introduction: Phosphoinositides play a key role in the regulation of focal adhesions (FAs) turnover during cell adhesion and migration. However, their potential role in FA turnover at leading and trailing edge of cell ar...