Machine-learning models for predicting survivability in COVID-19 patients

ID Acheme, OR Vincent - Data Science for COVID-19, 2021 - Elsevier
COVID-19 is a disease currently ravaging the world, bringing unprecedented health and
economic challenges to several nations. There are presently close to five million reported …

COVID-19 patient health prediction using boosted random forest algorithm

C Iwendi, AK Bashir, A Peshkar, R Sujatha… - Frontiers in public …, 2020 - frontiersin.org
Integration of artificial intelligence (AI) techniques in wireless infrastructure, real-time
collection, and processing of end-user devices is now in high demand. It is now superlative …

Prerequisite for COVID-19 prediction: a review on factors affecting the infection rate

SGH Tang, MHH Hadi, SR Arsad, PJ Ker… - International Journal of …, 2022 - mdpi.com
Since the year 2020, coronavirus disease 2019 (COVID-19) has emerged as the dominant
topic of discussion in the public and research domains. Intensive research has been carried …

Analytics and prediction modeling during the COVID-19 pandemic

DW Challener, SC Dowdy… - Mayo Clinic …, 2020 - mayoclinicproceedings.org
The ongoing coronavirus disease 2019 (COVID-19) worldwide pandemic has generated
substantial interest in mathematical and predictive modeling for infectious diseases. These …

Identifying predictors of COVID-19 mortality using machine learning

TK Wan, RX Huang, TW Tulu, JD Liu, A Vodencarevic… - Life, 2022 - mdpi.com
(1) Background: Coronavirus disease 2019 (COVID-19) is a dominant, rapidly spreading
respiratory disease. However, the factors influencing COVID-19 mortality still have not been …

Machine Learning‐Based Model to Predict the Disease Severity and Outcome in COVID‐19 Patients

SS Aljameel, IU Khan, N Aslam, M Aljabri… - Scientific …, 2021 - Wiley Online Library
The novel coronavirus (COVID‐19) outbreak produced devastating effects on the global
economy and the health of entire communities. Although the COVID‐19 survival rate is high …

[HTML][HTML] Clinical diagnosis of severe COVID-19: A derivation and validation of a prediction rule

M Tang, XX Yu, J Huang, JL Gao, FL Cen… - World journal of …, 2021 - ncbi.nlm.nih.gov
BACKGROUND The widespread coronavirus disease 2019 (COVID-19) has led to high
morbidity and mortality. Therefore, early risk identification of critically ill patients remains …

Machine learning based prognostic model and mobile application software platform for predicting infection susceptibility of COVID-19 using healthcare data

R Srivatsan, PN Indi, S Agrahari, S Menon… - Research on Biomedical …, 2020 - Springer
Introduction From public health perspectives of COVID-19 pandemic, accurate estimates of
infection severity of individuals are extremely valuable for the informed decision-making and …

Modeling and predicting the spread of COVID-19: a continental analysis

BA Ojokoh, OA Sarumi, KV Salako, AJ Gabriel… - Data Science for COVID …, 2022 - Elsevier
The world is currently overwhelmed with the perils of the outbreak of the coronavirus
disease 2019 (COVID-19) pandemic. As of May 18, 2020, there were 4,819,102 confirmed …

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

L Wynants, B Van Calster, MMJ Bonten, GS Collins… - MedRxiv, 2020 - medrxiv.org
Objective To review and critically appraise published and preprint reports of models that aim
to predict either (i) presence of existing COVID-19 infection,(ii) future complications in …