Enhancing the prediction efficiency of virus borne diseases using enhanced backpropagation with an artificial neural network-Reference-Cited by-同舟云学术

Enhancing the prediction efficiency of virus borne diseases using enhanced backpropagation with an artificial neural network

Published:2022-12 Issue: Volume:24 Page:100505
ISSN:2665-9174
Container-title:Measurement: Sensors
language:en
Short-container-title:Measurement: Sensors

Author:

Choubey Srishti,Barde Snehlata,Badholia Abhishek

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanics of Materials,Electronic, Optical and Magnetic Materials

Reference18 articles.

1. ASSURED-Compliant Point-Of-Care Diagnostics for the Detection of Human Viral Infections;Naseri,2022

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3. The deep learning model for multi-classification of infectious diseases from unstructured electronic medical records;Wang;BMC Med. Inf. Decis. Making,2022

4. Predicting the concentrations of enteric viruses in urban rivers running through the city center via an artificial neural network;Miao;J. Hazard Mater.,2022

5. Eukaryotic virus composition can predict the efficiency of carbon export in the global ocean;Kaneko;Science,2021

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