Role of Artificial Intelligence in COVID-19 Prediction Based on Statistical Methods

[1]  R. Sujatha,et al.  A machine learning methodology for forecasting of the COVID-19 cases in India , 2020 .

[2]  Wil M. P. van der Aalst,et al.  Process Mining , 2016, Springer Berlin Heidelberg.

[3]  Belinda Barton,et al.  Medical Statistics: A Guide to SPSS, Data Analysis and Critical Appraisal , 2005 .

[4]  Quan Wen.  Asset Growth and Stock Market Returns: A Time-Series Analysis* , 2018, Review of Finance.

[5]  Bahram Nasernejad,et al.  Prediction of partition coefficients of alkaloids in ionic liquids based aqueous biphasic systems using hybrid group method of data handling (GMDH) neural network , 2014 .

[6]  Quan Wen.  Asset Growth and Stock Market Returns: A Time-Series Analysis , 2017 .

[7]  G. Pazuki,et al.  A hybrid GMDH neural network to investigate partition coefficients of Penicillin G Acylase in polymer–salt aqueous two-phase systems , 2013 .

[8]  Mohammad Najafzadeh,et al.  Neuro-fuzzy GMDH based particle swarm optimization for prediction of scour depth at downstream of grade control structures , 2015 .

[9]  W. F. Maddams,et al.  The Scope and Limitations of Curve Fitting , 1980 .

[10]  P. G. Guest.  Numerical Methods of Curve Fitting , 1961 .

[11]  Leandro dos Santos Coelho,et al.  A GMDH polynomial neural network-based method to predict approximate three-dimensional structures of polypeptides , 2012, Expert systems with applications.

[12]  C. Zheng,et al.  Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19) , 2020 .

[13]  Hung Nguyen-Xuan,et al.  A novel analysis-prediction approach for geometrically nonlinear problems using group method of data handling , 2019, Computer Methods in Applied Mechanics and Engineering.

[14]  S. Fallahi,et al.  Mathematical model of liquid–liquid equilibrium for a ternary system using the GMDH-type neural network and genetic algorithm , 2012 .

[15]  Peter R. Keller,et al.  Visual cues - practical data visualization , 1993 .

[16]  Jiyuan Zhang,et al.  Pathological findings of COVID-19 associated with acute respiratory distress syndrome , 2020, The Lancet Respiratory Medicine.

[17]  A. G. Ivakhnenko,et al.  Polynomial Theory of Complex Systems , 1971, IEEE Trans. Syst. Man Cybern..

[18]  G. Pazuki,et al.  A GMDH-type neural network for prediction of water activity in glycol and Poly(ethylene glycol) solutions , 2015 .

[19]  Zhenhuan Sui.  Social Media Text Data Visualization Modeling: A Timely Topic Score Technique , 2019 .

[20]  Ali Kashif Bashir,et al.  COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm , 2020, Frontiers in Public Health.

[21]  Huixia Yang,et al.  Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records , 2020, The Lancet.

[22]  Hamed Ahmadi,et al.  Group Method of Data Handling-Type Neural Network Prediction of Broiler Performance Based on Dietary Metabolizable Energy, Methionine, and Lysine , 2007 .

[23]  Hosein Naderpour,et al.  Innovative models for prediction of compressive strength of FRP-confined circular reinforced concrete columns using soft computing methods , 2019, Composite Structures.

[24]  Wil M. P. van der Aalst,et al.  Data Science in Action , 2016 .

[25]  J. Rocklöv,et al.  The reproductive number of COVID-19 is higher compared to SARS coronavirus , 2020, Journal of travel medicine.

[26]  Boris G. Mirkin,et al.  Core Data Analysis: Summarization, Correlation, and Visualization , 2019, Undergraduate Topics in Computer Science.

[27]  Aboul Ella Hassanien,et al.  A machine learning forecasting model for COVID-19 pandemic in India , 2020, Stochastic Environmental Research and Risk Assessment.

[28]  Eric Ghysels,et al.  Testing for Granger Causality with Mixed Frequency Data , 2013 .

[29]  Manfred Mudelsee,et al.  Trend analysis of climate time series: A review of methods , 2019, Earth-Science Reviews.

[30]  Novel Coronavirus Pneumonia Emergency Response Epidemiol Team.  [The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China]. , 2020, Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi.