Data-Driven Modeling of Smartphone-Based Electrochemiluminescence Sensor Data Using Artificial Intelligence

Understanding relationships among multimodal data extracted from a smartphone-based electrochemiluminescence (ECL) sensor is crucial for the development of low-cost point-of-care diagnostic devices. In this work, artificial intelligence (AI) algorithms such as random forest (RF) and feedforward neur...

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Bibliografiske detaljer
Udgivet i:Sensors (Basel)
Main Authors: Ccopa Rivera, Elmer, Swerdlow, Jonathan J., Summerscales, Rodney L., Uppala, Padma P. Tadi, Maciel Filho, Rubens, Neto, Mabio R. C., Kwon, Hyun J.
Format: Artigo
Sprog:Inglês
Udgivet: MDPI 2020
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7038330/
https://ncbi.nlm.nih.gov/pubmed/31979213
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20030625
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