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AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data.
- Source :
- Journal of Medical Systems; May2020, Vol. 44 Issue 5, p1-5, 5p, 2 Black and White Photographs, 1 Diagram, 2 Maps
- Publication Year :
- 2020
-
Abstract
- The novel coronavirus (COVID-19) outbreak, which was identified in late 2019, requires special attention because of its future epidemics and possible global threats. Beside clinical procedures and treatments, since Artificial Intelligence (AI) promises a new paradigm for healthcare, several different AI tools that are built upon Machine Learning (ML) algorithms are employed for analyzing data and decision-making processes. This means that AI-driven tools help identify COVID-19 outbreaks as well as forecast their nature of spread across the globe. However, unlike other healthcare issues, for COVID-19, to detect COVID-19, AI-driven tools are expected to have active learning-based cross-population train/test models that employs multitudinal and multimodal data, which is the primary purpose of the paper. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01485598
- Volume :
- 44
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Journal of Medical Systems
- Publication Type :
- Academic Journal
- Accession number :
- 143018941
- Full Text :
- https://doi.org/10.1007/s10916-020-01562-1