[HTML][HTML] Automatic COVID-19 prediction using explainable machine learning techniques
S Solayman, SA Aumi, CS Mery, M Mubassir… - International Journal of …, 2023 - Elsevier
The coronavirus is considered this century's most disruptive catastrophe and global concern.
This disease has prompted extreme social, psychological and economic impacts affecting …
This disease has prompted extreme social, psychological and economic impacts affecting …
A lime-based explainable machine learning model for predicting the severity level of covid-19 diagnosed patients
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 …
poses great challenges to an already overloaded health system worldwide. It thus …
A decision support system for diagnosis of COVID-19 from non-COVID-19 influenza-like illness using explainable artificial intelligence
The coronavirus pandemic emerged in early 2020 and turned out to be deadly, killing a vast
number of people all around the world. Fortunately, vaccines have been discovered, and …
number of people all around the world. Fortunately, vaccines have been discovered, and …
[PDF][PDF] Supervised machine learning-based prediction of COVID-19
A Atta-ur-Rahman, K Sultan, I Naseer… - … , Materials & Continua, 2021 - researchgate.net
COVID-19 turned out to be an infectious and life-threatening viral disease, and its swift and
overwhelming spread has become one of the greatest challenges for the world. As yet, no …
overwhelming spread has become one of the greatest challenges for the world. As yet, no …
Stacking ensemble-based intelligent machine learning model for predicting post-COVID-19 complications
The recent outbreak of novel coronavirus disease (COVID-19) has resulted in healthcare
crises across the globe. Moreover, the persistent and prolonged complications of post …
crises across the globe. Moreover, the persistent and prolonged complications of post …
[HTML][HTML] Supervised machine learning models for prediction of COVID-19 infection using epidemiology dataset
Abstract COVID-19 or 2019-nCoV is no longer pandemic but rather endemic, with more than
651,247 people around world having lost their lives after contracting the disease. Currently …
651,247 people around world having lost their lives after contracting the disease. Currently …
Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers
K Chadaga, S Prabhu, N Sampathila, R Chadaga… - Scientific Reports, 2024 - nature.com
The COVID-19 influenza emerged and proved to be fatal, causing millions of deaths
worldwide. Vaccines were eventually discovered, effectively preventing the severe …
worldwide. Vaccines were eventually discovered, effectively preventing the severe …
Analysis and prediction of COVID-19 pandemic in Bangladesh by using ANFIS and LSTM network
AA Chowdhury, KT Hasan, KKS Hoque - Cognitive Computation, 2021 - Springer
The dangerously contagious virus named “COVID-19” has struck the world strong and has
locked down billions of people in their homes to stop the further spread. All the researchers …
locked down billions of people in their homes to stop the further spread. All the researchers …
Future forecasting of COVID-19: a supervised learning approach
A little over a year after the official announcement from the WHO, the COVID-19 pandemic
has led to dramatic consequences globally. Today, millions of doses of vaccines have …
has led to dramatic consequences globally. Today, millions of doses of vaccines have …
A comparative study of machine learning models for COVID-19 prediction in India
Machine learning is commonly being used in every field. Forecasting systems based on
machine learning (ML) have shown their importance in interpreting perioperative effects to …
machine learning (ML) have shown their importance in interpreting perioperative effects to …