Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review
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Cited by:
- Arielle Kaim & Tuvia Gering & Amiram Moshaiov & Bruria Adini, 2021. "Deciphering the COVID-19 Health Economic Dilemma (HED): A Scoping Review," IJERPH, MDPI, vol. 18(18), pages 1-13, September.
- Jamal Al Qundus & Shivam Gupta & Hesham Abusaimeh & Silvio Peikert & Adrian Paschke, 2023. "Prescriptive Analytics-Based SIRM Model for Predicting Covid-19 Outbreak," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(2), pages 235-246, June.
- Rocío Aznar-Gimeno & Luis M. Esteban & Gorka Labata-Lezaun & Rafael del-Hoyo-Alonso & David Abadia-Gallego & J. Ramón Paño-Pardo & M. José Esquillor-Rodrigo & Ángel Lanas & M. Trinidad Serrano, 2021. "A Clinical Decision Web to Predict ICU Admission or Death for Patients Hospitalised with COVID-19 Using Machine Learning Algorithms," IJERPH, MDPI, vol. 18(16), pages 1-20, August.
- Davide Barbieri & Enrico Giuliani & Anna Del Prete & Amanda Losi & Matteo Villani & Alberto Barbieri, 2021. "How Artificial Intelligence and New Technologies Can Help the Management of the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(14), pages 1-10, July.
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AI-based methods; COVID-19; open-access data; spread modeling;All these keywords.
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