Machine learning is the key to diagnose COVID-19: a proof-of-concept study
Abstract The reverse transcription-polymerase chain reaction (RT-PCR) assay is the accepted standard for coronavirus disease 2019 (COVID-19) diagnosis. As any test, RT-PCR provides false negative results that can be rectified by clinicians by confronting clinical, biological and imaging data. The co...
Enregistré dans:
Auteurs principaux: | Cedric Gangloff, Sonia Rafi, Guillaume Bouzillé, Louis Soulat, Marc Cuggia |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/97b103295ae64a10adb3a8c305bc9df2 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Author Correction: Machine learning is the key to diagnose COVID-19: a proof-of-concept study
par: Cedric Gangloff, et autres
Publié: (2021) -
A proof of concept for machine learning-based virtual knapping using neural networks
par: Jordy Didier Orellana Figueroa, et autres
Publié: (2021) -
Novel application of automated machine learning with MALDI-TOF-MS for rapid high-throughput screening of COVID-19: a proof of concept
par: Nam K. Tran, et autres
Publié: (2021) -
Predicting pain among female survivors of recent interpersonal violence: A proof-of-concept machine-learning approach.
par: Edward Lannon, et autres
Publié: (2021) -
Multiparametric Microstructural MRI and Machine Learning Classification Yields High Diagnostic Accuracy in Amyotrophic Lateral Sclerosis: Proof of Concept
par: Thomas D. Kocar, et autres
Publié: (2021)