Multimodal machine learning in precision health: A scoping review
Abstract Machine learning is frequently being leveraged to tackle problems in the health
sector including utilization for clinical decision-support. Its use has historically been focused …
sector including utilization for clinical decision-support. Its use has historically been focused …
Artificial intelligence in surveillance, diagnosis, drug discovery and vaccine development against COVID-19
As of August 6th, 2021, the World Health Organization has notified 200.8 million laboratory-
confirmed infections and 4.26 million deaths from COVID-19, making it the worst pandemic …
confirmed infections and 4.26 million deaths from COVID-19, making it the worst pandemic …
Data-driven analytics leveraging artificial intelligence in the era of COVID-19: an insightful review of recent developments
A Majeed, SO Hwang - Symmetry, 2021 - mdpi.com
This paper presents the role of artificial intelligence (AI) and other latest technologies that
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
[HTML][HTML] Identifying X (Formerly Twitter) Posts Relevant to Dementia and COVID-19: Machine Learning Approach
M Azizi, AA Jamali, RJ Spiteri - JMIR Formative Research, 2024 - formative.jmir.org
Background During the pandemic, patients with dementia were identified as a vulnerable
population. X (formerly Twitter) became an important source of information for people …
population. X (formerly Twitter) became an important source of information for people …
The prominence of artificial intelligence in covid-19
In December 2019, a novel virus called COVID-19 had caused an enormous number of
causalities to date. The battle with the novel Coronavirus is baffling and horrifying after the …
causalities to date. The battle with the novel Coronavirus is baffling and horrifying after the …
Applications of machine learning and high-performance computing in the era of COVID-19
A Majeed, S Lee - Applied System Innovation, 2021 - mdpi.com
During the ongoing pandemic of the novel coronavirus disease 2019 (COVID-19), latest
technologies such as artificial intelligence (AI), blockchain, learning paradigms (machine …
technologies such as artificial intelligence (AI), blockchain, learning paradigms (machine …
Computational screening of FDA approved drugs of fungal origin that may interfere with SARS-CoV-2 spike protein activation, viral RNA replication, and post …
Coronavirus spread is an emergency reported globally, and a specific treatment strategy for
this significant health issue is not yet identified. COVID-19 is a highly contagious disease …
this significant health issue is not yet identified. COVID-19 is a highly contagious disease …
Machine learning and LPWAN based internet of things applications in healthcare sector during COVID-19 pandemic
Low power wide area networks (LPWAN) are comprised of small devices having restricted
processing resources and limited energy budget. These devices are connected with each …
processing resources and limited energy budget. These devices are connected with each …
Computation to Fight SARS-CoV-2 (COVID-19)
S Brogi, V Calderone - Computation, 2023 - mdpi.com
In April 2020, during the last pandemic health emergency, we launched a Special Issue
hosted by Computation—section Computational Biology, entitled “Computation to Fight …
hosted by Computation—section Computational Biology, entitled “Computation to Fight …
Identifying Tweets Relevant to Dementia and Covid-19: A Machine Learning Approach
M Azizi, AA Jamali, RJ Spiteri - Available at SSRN 4458777, 2023 - papers.ssrn.com
Background: During the pandemic, dementia patients were identified as a vulnerable
population. Twitter became an important source of information for people seeking updates …
population. Twitter became an important source of information for people seeking updates …