A lime-based explainable machine learning model for predicting the severity level of covid-19 diagnosed patients

F Gabbay, S Bar-Lev, O Montano, N Hadad - Applied Sciences, 2021 - mdpi.com
The fast and seemingly uncontrollable spread of the novel coronavirus disease (COVID-19)
poses great challenges to an already overloaded health system worldwide. It thus …

4P model for dynamic prediction of COVID-19: a statistical and machine learning approach

KT Hasan, MM Rahman, MM Ahmmed… - Cognitive …, 2021 - Springer
Around the world, scientists are racing hard to understand how the COVID-19 epidemic is
spreading and growing, thus trying to find ways to prevent it before medications are …

A feature-based analysis for time-series classification of covid-19 incidence in Chile: a case study

C Flores, C Taramasco, ME Lagos, C Rimassa… - Applied Sciences, 2021 - mdpi.com
The 2019 Coronavirus disease (COVID-19) pandemic is a current challenge for the world's
health systems aiming to control this disease. From an epidemiological point of view, the …

Evolution of COVID-19 pandemic: Power-law growth and saturation

S Chatterjee, A Asad, B Shayak, S Bhattacharya… - medRxiv, 2020 - medrxiv.org
In this paper, we analyze the real-time infection data of COVID-19 epidemic for 21 nations
up to April 20, 2020. We observe that China, South Korea, Australia, Hong Kong, and …

Role of Knowledge Data Science During COVID‐19 Pandemic

HM Veena Kumari, DS Suresh - Data Science with Semantic …, 2022 - Wiley Online Library
Summary Corona virus disease 2019 (COVID‐19) episode that was proclaimed as a
pandemic by the World Health Organization (WHO) on March 11, 2020, has effectively had …

[PDF][PDF] 4P Model for Dynamic Prediction of Covid-19 with statistical and machine learning approach: Social Dynamics, Government Roles and Pathogen Behavior on …

KT Hasan, MM Rahman, MM Ahmmed, AA Chowdhury… - 2020 - researchgate.net
Introduction: Around the world, scientists are racing hard to understand how Covid-19
epidemic is spreading and growing, thus trying to find ways to prevent it before medications …