- Home
- Archives
- 2022
- Vol. 3 Issue 3
- Article
Covid-19 Future Forecasting Using Supervised Machine Learning
Authors
123ISE, College/ Kumaraguru college of technology, Tamilnadu, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 3, Issue 3 (2022)
- Published Online
- May-June 2022
- Pages
- 411-416
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
[1] S. Makridakis, E. Spiliotis, and V. Assimakopoulos, "Statistical and machine learning forecasting methods: Concerns and Future
Directions," PLoS ONE, vol. 13, no. 3, Mar. 2018.
[2] G. Bontempi, S. B. Taieb, and Y.-A. Le Borgne, "Machine learning techniques for time series forecasting," in Proceedings of the
European Business Intelligence Summer School, pp. 62-77, 2012.
[3] "Regression models for prognostic prediction: Benefits, Problems, and Suggestions," Cancer Treat. Rep., vol. 69, no. 10, pp. 1071-
1077, 1985.
[4] P. Lapuerta,S.P. Azen andL. Labree,"Use of neural networks in prognosticating the threat of coronary roadway complaint", Comput.
Biomed.Res.,vol. 28,no. 1,pp. 38-52,Feb. 1995.
[5] "Cardiovascular-disease risk profiles," Amer. heart J., vol. 121, no. 1, pp. 293-298, 1991.
[6] H. Asri, H. Mousannif, H. A. Moatassime, and T. Noel, "Using machine learning algorithms for breast cancer risk prediction and
diagnosis," Procedia Computer Science, vol. 83, no. 1, January 2016, pp. 1064-1069.
[7] Vaticinating the new coronavirus COVID-19, F. Petropoulos andS. Makridakis, PLoS ONE, vol. 15, no. 3, Mar. 2020.
[8] C.P.E.R.E. Novel,"The epidemiological characteristics of a 2019 new coronavirus complaint (Covid-19) outbreak in China,"Zhonghua
Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi,vol. 41,no. 2,pp. 145, 2020.
[9] L. van der Hoek,K. Pyrc,M.F. Jebbink,W. Vermeulen-Oost,R.J. Berkhout,K.C. Wolthers, and others,"Identification of a new mortal
Coronavirus,"NatureMed.,vol. 10,no. 4,pp. 368-373, 2004.
[10] H.-L. Hwa,W.-H. Kuo,L.-Y. Chang,M.-Y. Wang,T.-H. Tung,K.-J. Chang, and others," Vaticination of bone cancer and lymph knot
metastatic status with tumour labels using logistic retrogression models,"J. Eval. Clin.Pract., vol. 14, no. 2, pp. 275-280, Apr. 2008.
[11] R. Tibshirani," Retrogression loss and selection using the lariat,"J. Roy. Stat. Soc. Ser. BMethodol., vol. 58, no. 1, Jan. 1996, pp. 267-
288.
[12] R.W. Kennard andA.E. Hoerl,"Ridge retrogression Poisoned estimate for nonorthogonal problems,"Technometrics,vol. 12,no. 1,pp.
55-67, February 1970.
[13] X.F. Du,S.C.H. Leung,J.L. Zhang, andK.K. Lai," Demand soothsaying of perishable ranch products using support vector
machine,"International Journal of System Lores,vol. 44,no. 3,pp. 556-567, March 2013.
[14] E. Cadenas,O.A. Jaramillo, andW. Rivera," Analysis and soothsaying of wind haste in chetumal quintana trees using the single
exponential smoothing system,"Renewable Energy,vol. 35,no. 5, May 2010,pp. 925-930.
[15] J.-H. Han and S.-Y. Chi," Considering manufacturing data to use machine literacy styles for prophetic product,"in Proceedings of the 8th International Conference on Ubiquitous Unborn Networks (ICUFN), pp. 109-113, July 2016.
[16] R.Kaundal,A.S. Kapoor,andG.P. Raghava," Machine knowledge ways in complaint auguring A case study on rice blast
prophecy,"BMCBioinf.,vol. 7,no. 1,pp. 485, 2006.
[17] "Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in quantifying average model performance,"ClimateRes., vol. 30, no. 1, pp. 79-82, 2005."
[18] S.Baran and D.Nemoda,"A probabilistic quantitative rush auguring model predicated on a shifted gamma
distribution,"Environmetrics, vol. 27,no. 5,pp. 280-292, August 2016.
[19] Y. Grushka-Cockayne andV.R.R. Jose," Combining vaticination intervals in the m4 competition,"Int.J. Soothsaying,vol. 36,no. 1,pp.
178-185,Jan. 2020.
[20] G. Grasselli,A. Pesenti andM. Cecconi," Critical care application for the COVID-19 outbreak in Lombardy Italy Early experience and
cast during an exigency response", JAMA,vol. 323,no. 16,pp. 1545,Apr.2020.
Directions," PLoS ONE, vol. 13, no. 3, Mar. 2018.
[2] G. Bontempi, S. B. Taieb, and Y.-A. Le Borgne, "Machine learning techniques for time series forecasting," in Proceedings of the
European Business Intelligence Summer School, pp. 62-77, 2012.
[3] "Regression models for prognostic prediction: Benefits, Problems, and Suggestions," Cancer Treat. Rep., vol. 69, no. 10, pp. 1071-
1077, 1985.
[4] P. Lapuerta,S.P. Azen andL. Labree,"Use of neural networks in prognosticating the threat of coronary roadway complaint", Comput.
Biomed.Res.,vol. 28,no. 1,pp. 38-52,Feb. 1995.
[5] "Cardiovascular-disease risk profiles," Amer. heart J., vol. 121, no. 1, pp. 293-298, 1991.
[6] H. Asri, H. Mousannif, H. A. Moatassime, and T. Noel, "Using machine learning algorithms for breast cancer risk prediction and
diagnosis," Procedia Computer Science, vol. 83, no. 1, January 2016, pp. 1064-1069.
[7] Vaticinating the new coronavirus COVID-19, F. Petropoulos andS. Makridakis, PLoS ONE, vol. 15, no. 3, Mar. 2020.
[8] C.P.E.R.E. Novel,"The epidemiological characteristics of a 2019 new coronavirus complaint (Covid-19) outbreak in China,"Zhonghua
Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi,vol. 41,no. 2,pp. 145, 2020.
[9] L. van der Hoek,K. Pyrc,M.F. Jebbink,W. Vermeulen-Oost,R.J. Berkhout,K.C. Wolthers, and others,"Identification of a new mortal
Coronavirus,"NatureMed.,vol. 10,no. 4,pp. 368-373, 2004.
[10] H.-L. Hwa,W.-H. Kuo,L.-Y. Chang,M.-Y. Wang,T.-H. Tung,K.-J. Chang, and others," Vaticination of bone cancer and lymph knot
metastatic status with tumour labels using logistic retrogression models,"J. Eval. Clin.Pract., vol. 14, no. 2, pp. 275-280, Apr. 2008.
[11] R. Tibshirani," Retrogression loss and selection using the lariat,"J. Roy. Stat. Soc. Ser. BMethodol., vol. 58, no. 1, Jan. 1996, pp. 267-
288.
[12] R.W. Kennard andA.E. Hoerl,"Ridge retrogression Poisoned estimate for nonorthogonal problems,"Technometrics,vol. 12,no. 1,pp.
55-67, February 1970.
[13] X.F. Du,S.C.H. Leung,J.L. Zhang, andK.K. Lai," Demand soothsaying of perishable ranch products using support vector
machine,"International Journal of System Lores,vol. 44,no. 3,pp. 556-567, March 2013.
[14] E. Cadenas,O.A. Jaramillo, andW. Rivera," Analysis and soothsaying of wind haste in chetumal quintana trees using the single
exponential smoothing system,"Renewable Energy,vol. 35,no. 5, May 2010,pp. 925-930.
[15] J.-H. Han and S.-Y. Chi," Considering manufacturing data to use machine literacy styles for prophetic product,"in Proceedings of the 8th International Conference on Ubiquitous Unborn Networks (ICUFN), pp. 109-113, July 2016.
[16] R.Kaundal,A.S. Kapoor,andG.P. Raghava," Machine knowledge ways in complaint auguring A case study on rice blast
prophecy,"BMCBioinf.,vol. 7,no. 1,pp. 485, 2006.
[17] "Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in quantifying average model performance,"ClimateRes., vol. 30, no. 1, pp. 79-82, 2005."
[18] S.Baran and D.Nemoda,"A probabilistic quantitative rush auguring model predicated on a shifted gamma
distribution,"Environmetrics, vol. 27,no. 5,pp. 280-292, August 2016.
[19] Y. Grushka-Cockayne andV.R.R. Jose," Combining vaticination intervals in the m4 competition,"Int.J. Soothsaying,vol. 36,no. 1,pp.
178-185,Jan. 2020.
[20] G. Grasselli,A. Pesenti andM. Cecconi," Critical care application for the COVID-19 outbreak in Lombardy Italy Early experience and
cast during an exigency response", JAMA,vol. 323,no. 16,pp. 1545,Apr.2020.
Related Articles
Share Article
*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.