Review on the evaluation and development of artificial intelligence for COVID-19 containment
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …
substantiated promise of continuous applicability in the real world domain. Artificial …
Methodology-centered review of molecular modeling, simulation, and prediction of SARS-CoV-2
Despite tremendous efforts in the past two years, our understanding of severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2), virus–host interactions, immune …
respiratory syndrome coronavirus 2 (SARS-CoV-2), virus–host interactions, immune …
Comparing machine learning algorithms for predicting COVID-19 mortality
K Moulaei, M Shanbehzadeh… - BMC medical informatics …, 2022 - Springer
Background The coronavirus disease (COVID-19) hospitalized patients are always at risk of
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …
Latent class analysis reveals COVID-19–related acute respiratory distress syndrome subgroups with differential responses to corticosteroids
Rationale: Two distinct subphenotypes have been identified in acute respiratory distress
syndrome (ARDS), but the presence of subgroups in ARDS associated with coronavirus …
syndrome (ARDS), but the presence of subgroups in ARDS associated with coronavirus …
[HTML][HTML] Machine learning decision tree algorithm role for predicting mortality in critically ill adult COVID-19 patients admitted to the ICU
Abstract Background Coronavirus disease-19 (COVID-19) is caused by the severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2) and is currently a major cause of …
respiratory syndrome coronavirus 2 (SARS-CoV-2) and is currently a major cause of …
Application of a data-driven XGBoost model for the prediction of COVID-19 in the USA: a time-series study
Z Fang, S Yang, C Lv, S An, W Wu - BMJ open, 2022 - bmjopen.bmj.com
Objective The COVID-19 outbreak was first reported in Wuhan, China, and has been
acknowledged as a pandemic due to its rapid spread worldwide. Predicting the trend of …
acknowledged as a pandemic due to its rapid spread worldwide. Predicting the trend of …
Prediction of diagnosis and prognosis of COVID-19 disease by blood gas parameters using decision trees machine learning model: a retrospective observational …
Abstract The coronavirus disease 2019 (COVID-19) epidemic went down in history as a
pandemic caused by corona-viruses that emerged in 2019 and spread rapidly around the …
pandemic caused by corona-viruses that emerged in 2019 and spread rapidly around the …
[HTML][HTML] Artificial intelligence in clinical care amidst COVID-19 pandemic: a systematic review
The worldwide health crisis caused by the SARS-Cov-2 virus has resulted in more than 3
million deaths so far. Improving early screening, diagnosis and prognosis of the disease are …
million deaths so far. Improving early screening, diagnosis and prognosis of the disease are …
Artificial intelligence: machine learning for chemical sciences
Research in molecular sciences witnessed the rise and fall of Artificial Intelligence
(AI)/Machine Learning (ML) methods, especially artificial neural networks, few decades ago …
(AI)/Machine Learning (ML) methods, especially artificial neural networks, few decades ago …
Predictive models for COVID-19 detection using routine blood tests and machine learning
YV Kistenev, DA Vrazhnov, EE Shnaider, H Zuhayri - Heliyon, 2022 - cell.com
The problem of accurate, fast, and inexpensive COVID-19 tests has been urgent till now.
Standard COVID-19 tests need high-cost reagents and specialized laboratories with high …
Standard COVID-19 tests need high-cost reagents and specialized laboratories with high …