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

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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Bibliographic Details
Main Authors: Elmer Ccopa Rivera, Jonathan J. Swerdlow, Rodney L. Summerscales, Padma P. Tadi Uppala, Rubens Maciel Filho, Mabio R. C. Neto, Hyun J. Kwon
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
electrochemiluminescence
artificial intelligence
sensor
mobile phone
modeling
Online Access:https://www.mdpi.com/1424-8220/20/3/625

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https://www.mdpi.com/1424-8220/20/3/625

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