Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
Explainable artificial intelligence methods in combating pandemics: A systematic review
Despite the myriad peer-reviewed papers demonstrating novel Artificial Intelligence (AI)-
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
[HTML][HTML] Time series prediction of COVID-19 transmission in America using LSTM and XGBoost algorithms
J Luo, Z Zhang, Y Fu, F Rao - Results in Physics, 2021 - Elsevier
In this paper, we establish daily confirmed infected cases prediction models for the time
series data of America by applying both the long short-term memory (LSTM) and extreme …
series data of America by applying both the long short-term memory (LSTM) and extreme …
[HTML][HTML] Machine learning based clinical decision support system for early COVID-19 mortality prediction
The coronavirus disease 2019 (COVID-19), caused by the virus SARS-CoV-2, is an acute
respiratory disease that has been classified as a pandemic by the World Health …
respiratory disease that has been classified as a pandemic by the World Health …
[HTML][HTML] Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases
A Syrowatka, M Kuznetsova, A Alsubai… - NPJ digital …, 2021 - nature.com
Artificial intelligence (AI) represents a valuable tool that could be widely used to inform
clinical and public health decision-making to effectively manage the impacts of a pandemic …
clinical and public health decision-making to effectively manage the impacts of a pandemic …
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 …
[HTML][HTML] Using automated machine learning to predict the mortality of patients with COVID-19: prediction model development study
K Ikemura, E Bellin, Y Yagi, H Billett, M Saada… - Journal of medical …, 2021 - jmir.org
Background During a pandemic, it is important for clinicians to stratify patients and decide
who receives limited medical resources. Machine learning models have been proposed to …
who receives limited medical resources. Machine learning models have been proposed to …
Utilization of Digital Network Learning and Healthcare for Verbal Assessment and Counselling During Post COVID-19 Period
RK Gupta - Technologies, Artificial Intelligence and the Future of …, 2022 - Springer
The COVID-19 pandemic has created a pressing need to integrate information from
disparate sources to assist decision-makers. Social media is important in this respect; …
disparate sources to assist decision-makers. Social media is important in this respect; …
[HTML][HTML] COVID mortality prediction with machine learning methods: a systematic review and critical appraisal
More than a year has passed since the report of the first case of coronavirus disease 2019
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …
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 …