Cargando…
Recurrent Neural Network and Reinforcement Learning Model for COVID-19 Prediction
Detection and prediction of the novel Coronavirus present new challenges for the medical research community due to its widespread across the globe. Methods driven by Artificial Intelligence can help predict specific parameters, hazards, and outcomes of such a pandemic. Recently, deep learning-based...
Autores principales: | Kumar, R. Lakshmana, Khan, Firoz, Din, Sadia, Band, Shahab S., Mosavi, Amir, Ibeke, Ebuka |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521000/ https://www.ncbi.nlm.nih.gov/pubmed/34671588 http://dx.doi.org/10.3389/fpubh.2021.744100 |
Ejemplares similares
-
A Neural Network and Optimization Based Lung Cancer Detection System in CT Images
por: Venkatesh, Chapala, et al.
Publicado: (2022) -
A Recommendation System Based on AI for Storing Block Data in the Electronic Health Repository
por: Mani, Vinodhini, et al.
Publicado: (2022) -
A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis
por: Band, Shahab S., et al.
Publicado: (2022) -
A Multi-Agent Formalism Based on Contextual Defeasible Logic for Healthcare Systems
por: Akhtar, Salwa Muhammad, et al.
Publicado: (2022) -
Oil Family Typing Using a Hybrid Model of Self-Organizing
Maps and Artificial Neural Networks
por: Safaei-Farouji, Majid, et al.
Publicado: (2022)