Paper Info
Title
COVID-19 Preliminary Patient Filtering based on Regular Blood Tests using Auto-Adaptive Artificial Intelligence Platform
Abstract
In order to control the spread of the COVID-19 it is very important to identify those who have been already infected by this new type of virus. The rRT-PCR (reverse transcription polymerase chain reaction) testing is the golden standard for COVID-19 detection, but it is time consuming, laborious manual process and it is very short in supply. In order to reduce the number of tests, in this article we will present a possible solution for COVID-19 preliminary patient filtering based on regular blood tests, using artificial intelligence (AI) models. The most appropriate AI model will be selected using our auto-adaptive AI platform, AutomaticAI. The hyperparameters of the selected algorithm will also be adjusted automatically by this platform to match the context of the problem.
Year
DOI
Venue
2020
10.1109/ICCP51029.2020.9266277
2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP)
Keywords
DocType
ISSN
regular blood tests,autoadaptive artificial intelligence platform,reverse transcription polymerase chain reaction,COVID-19 detection,COVID-19 preliminary patient filtering,artificial intelligence models,AutomaticAI
Conference
2065-9946
ISBN
Citations 
PageRank 
978-1-7281-9081-5
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Zoltan Czako112.07
Gheorghe Sebestyen256.25
Anca Hangan345.30