Potenciális COVID-19 fertőzés automatikus felismerésé hagyományos véranalízis alapján

Automatic detection of potential COVID-19 infection based on conventional blood analysis

  • CZAKO Zoltán
  • SEBESTYÉN Pál György
  • HANGAN Anca
Keywords: COVID-19, vérteszt, AutomaticAI, részecske raj optimalizálás, szumilált hűtés

Abstract

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. 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.

Kivonat

A COVID-19 terjedésének megfékezése érdekében nagyon fontos azonosítani azokat a személyeket, akiket már megfertőzött ezen új típusú vírus. Az rRT-PCR (reverse transcription polymerase chain reaction) teszt a COVID-19 detektálásának leghatékonyabb eszköze, ám időigényes, fárasztó kézi folyamat, és nagyon szűk a készlet belőle. A tesztek számának csökkentése érdekében, ebben a cikkben a COVID-19 előzetes betegszűrésének lehetséges megoldását mutatjuk be hagyományos vérvizsgálatok alapján, mesterséges intelligencia (AI) modellek felhasználásával. A leghatékonyabb AI-modellt automatikusan alkalmazkodó AI-platformunk, az AutomaticAI segítségével választjuk ki. A kiválasztott algoritmus hiperparamétereit platformunk képes automatikusan beállítani, ezáltal megfelelve a probléma kontextusának.

 

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Published
2020-10-06