Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review
COVID-19 was one of the most serious global public health emergencies in recent years, and its extremely fast spreading speed had a profound negative impact on society. A comprehensive analysis and prediction of COVID-19 could lay a theoretical foundation for monitoring and early warning systems. Si...
Saved in:
| Main Authors: | Yunyun Cheng, Rong Cheng, Ting Xu, Xiuhui Tan, Yanping Bai |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Bioengineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5354/12/5/514 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine learning algorithms applied to the diagnosis of COVID-19 based on epidemiological, clinical, and laboratory data
by: Silvia Elaine Cardozo Macedo, et al.
Published: (2025-03-01) -
Predictive modeling of pregnancy outcomes utilizing multiple machine learning techniques for in vitro fertilization-embryo transfer
by: Ru Bai, et al.
Published: (2025-03-01) -
ARTIFICIAL NEURAL NETWORKS FOR PREDICTING SUGARCANE STALK AND TOTAL BIOMASS YIELD BASED ON MICRONUTRIENT RATES APPLIED IN THE PLANTING FURROW AND TO THE LEAVES
by: Alfredo Bonini Neto, et al.
Published: (2025-04-01) -
Enhancing malignant transformation predictions in oral potentially malignant disorders: A novel machine learning framework using real-world data
by: Jing Wen Li, et al.
Published: (2025-03-01) -
Comparative performance of twelve machine learning models in predicting COVID-19 mortality risk in children: a population-based retrospective cohort study in Brazil
by: Adriano Lages dos Santos, et al.
Published: (2025-05-01)