Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

L Wynants, B Van Calster, GS Collins, RD Riley… - bmj, 2020 - bmj.com
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 …

[Retracted] Influential Usage of Big Data and Artificial Intelligence in Healthcare

YC Yang, SU Islam, A Noor, S Khan… - … methods in medicine, 2021 - Wiley Online Library
Artificial intelligence (AI) is making computer systems capable of executing human brain
tasks in many fields in all aspects of daily life. The enhancement in information and …

Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions

TT Nguyen, QVH Nguyen, DT Nguyen, S Yang… - arXiv preprint arXiv …, 2020 - arxiv.org
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …

[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 …

[HTML][HTML] An ensemble learning model for COVID-19 detection from blood test samples

OO Abayomi-Alli, R Damaševičius, R Maskeliūnas… - Sensors, 2022 - mdpi.com
Current research endeavors in the application of artificial intelligence (AI) methods in the
diagnosis of the COVID-19 disease has proven indispensable with very promising results …

[HTML][HTML] A machine learning model for predicting deterioration of COVID-19 inpatients

O Noy, D Coster, M Metzger, I Atar… - Scientific reports, 2022 - nature.com
The COVID-19 pandemic has been spreading worldwide since December 2019, presenting
an urgent threat to global health. Due to the limited understanding of disease progression …

Artificial Intelligence in Emergency Medicine. A Systematic Literature Review.

K Piliuk, S Tomforde - International Journal of Medical Informatics, 2023 - Elsevier
Motivation and objective: Emergency medicine is becoming a popular application area for
artificial intelligence methods but remains less investigated than other healthcare branches …

[HTML][HTML] A survey of COVID-19 diagnosis using routine blood tests with the aid of artificial intelligence techniques

S Abbasi Habashi, M Koyuncu, R Alizadehsani - Diagnostics, 2023 - mdpi.com
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), causing a disease
called COVID-19, is a class of acute respiratory syndrome that has considerably affected the …

[HTML][HTML] Identification of variable importance for predictions of mortality from COVID-19 using AI models for Ontario, Canada

B Snider, EA McBean, J Yawney… - Frontiers in Public …, 2021 - frontiersin.org
The Severe Acute Respiratory Syndrome Coronavirus 2 pandemic has challenged medical
systems to the brink of collapse around the globe. In this paper, logistic regression and three …

[HTML][HTML] A data-driven eXtreme gradient boosting machine learning model to predict COVID-19 transmission with meteorological drivers

MS Rahman, AH Chowdhury - Plos one, 2022 - journals.plos.org
COVID-19 pandemic has become a global major public health concern. Examining the
meteorological risk factors and accurately predicting the incidence of the COVID-19 …