Cargando…

Analysis of origin, risk factors influencing COVID-19 cases in India and its prediction using ensemble learning

A genetically heterogeneous infectious virus recognized as COVID-19 (COronaVIrus Disease) has a significant influence on worldwide health. COVID-19 is an infection transmitted by a viral disease known as Severe Acute Respiratory Syndrome CoronaVirus-2. (SARS-CoV-2). In the current period, the instan...

Descripción completa

Detalles Bibliográficos
Autores principales:	Rajesh, N., Christodoss, Prasanna Ranjith
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer India 2021
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556781/ http://dx.doi.org/10.1007/s13198-021-01356-9

Ejemplares similares

Ensemble machine learning of factors influencing COVID-19 across US counties
por: McCoy, David, et al.
Publicado: (2021)

Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer
por: Ye, Xiucai, et al.
Publicado: (2019)

Transfer-recursive-ensemble learning for multi-day COVID-19 prediction in India using recurrent neural networks
por: Chakraborty, Debasrita, et al.
Publicado: (2023)

Early prediction of COVID-19 using ensemble of transfer learning()
por: Roy, Pradeep Kumar, et al.
Publicado: (2022)

An ensemble prediction model for COVID-19 mortality risk
por: Li, Jie, et al.
Publicado: (2022)

Application of ensemble machine learning algorithms on lifestyle factors and wearables for cardiovascular risk prediction
por: Huang, Weiting, et al.
Publicado: (2022)

EnsembleSplice: ensemble deep learning model for splice site prediction
por: Akpokiro, Victor, et al.
Publicado: (2022)

COVID-19 mortality prediction using ensemble learning and grey wolf optimization
por: Lou, Lihua, et al.
Publicado: (2023)

An innovative ensemble model based on deep learning for predicting COVID-19 infection
por: Su, Xiaoying, et al.
Publicado: (2023)

FLED-Block: Federated Learning Ensembled Deep Learning Blockchain Model for COVID-19 Prediction
por: Durga, R., et al.
Publicado: (2022)

Design and Development of IoT and Deep Ensemble Learning Based Model for Disease Monitoring and Prediction
por: Venkatachala Appa Swamy, Mareeswari, et al.
Publicado: (2023)

A Preliminary Note on the Action of Vasopressin and Oxytocin
por: David, J. Christodoss, et al.
Publicado: (1929)

The Prediction of Hepatitis E through Ensemble Learning
por: Peng, Tu, et al.
Publicado: (2020)

Ensemble Learning for Disease Prediction: A Review
por: Mahajan, Palak, et al.
Publicado: (2023)

An efficient hardware architecture based on an ensemble of deep learning models for COVID -19 prediction
por: R, Sakthivel, et al.
Publicado: (2022)

Analysis and Prediction of COVID-19 Multivariate Data Using Deep Ensemble Learning Methods
por: Sharma, Shruti, et al.
Publicado: (2023)

Blended Ensemble Learning Prediction Model for Strengthening Diagnosis and Treatment of Chronic Diabetes Disease
por: Mahesh, T. R., et al.
Publicado: (2022)

Twitter sentiment analysis using ensemble based deep learning model towards COVID-19 in India and European countries
por: Sunitha, D., et al.
Publicado: (2022)

A two-layer nested heterogeneous ensemble learning predictive method for COVID-19 mortality
por: Cui, Shaoze, et al.
Publicado: (2021)

Stacking Ensemble-Based Intelligent Machine Learning Model for Predicting Post-COVID-19 Complications
por: Gupta, Aditya, et al.
Publicado: (2021)

Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients
por: Fadja, Arnaud Nguembang, et al.
Publicado: (2022)

Ensemble learning method for the prediction of new bioactive molecules
por: Afolabi, Lateefat Temitope, et al.
Publicado: (2018)

A Stacking Ensemble Learning Framework for Genomic Prediction
por: Liang, Mang, et al.
Publicado: (2021)

Prediction of Hepatitis disease using ensemble learning methods
por: MAJZOOBI, MOHAMMAD MAHDI, et al.
Publicado: (2022)

Ensemble learning from ensemble docking: revisiting the optimum ensemble size problem
por: Mohammadi, Sara, et al.
Publicado: (2022)

LitCovid ensemble learning for COVID-19 multi-label classification
por: Gu, Jinghang, et al.
Publicado: (2022)

Prediction of respiratory failure risk in patients with pneumonia in the ICU using ensemble learning models
por: Lyu, Guanqi, et al.
Publicado: (2023)

Predicting drug side effects by multi-label learning and ensemble learning
por: Zhang, Wen, et al.
Publicado: (2015)

An Ensemble Multilabel Classification for Disease Risk Prediction
por: Li, Runzhi, et al.
Publicado: (2017)

Multi-region machine learning-based novel ensemble approaches for predicting COVID-19 pandemic in Africa
por: Ibrahim, Zurki, et al.
Publicado: (2022)

Predicting factors affecting the intention to use a 3PL during the COVID-19 pandemic: A machine learning ensemble approach
por: German, Josephine D., et al.
Publicado: (2022)

Ensemble epistasis: thermodynamic origins of nonadditivity between mutations
por: Morrison, Anneliese J, et al.
Publicado: (2021)

Ensemble Learning of QTL Models Improves Prediction of Complex Traits
por: Bian, Yang, et al.
Publicado: (2015)

Prediction of plant lncRNA by ensemble machine learning classifiers
por: Simopoulos, Caitlin M. A., et al.
Publicado: (2018)

Predicting seismic-induced liquefaction through ensemble learning frameworks
por: Alobaidi, Mohammad H., et al.
Publicado: (2019)

Ensemble transfer learning for the prediction of anti-cancer drug response
por: Zhu, Yitan, et al.
Publicado: (2020)

Disease prediction via Bayesian hyperparameter optimization and ensemble learning
por: Gao, Liyuan, et al.
Publicado: (2020)

Velo-Predictor: an ensemble learning pipeline for RNA velocity prediction
por: Wang, Xin, et al.
Publicado: (2021)

Ensemble learning for the early prediction of neonatal jaundice with genetic features
por: Deng, Haowen, et al.
Publicado: (2021)

Bus Single-Trip Time Prediction Based on Ensemble Learning
por: Huang, Haifeng, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_98f81fkl9isgsl7l52t1ghsoik