Data-driven modeling of smartphone-based electrochemiluminescence sensor data using artificial intelligence

Data-driven modeling of smartphone-based electrochemiluminescence sensor data using artificial intelligence

Elmer Ccopa Rivera, Jonathan J. Swerdlow, Rodney L. Summerscales, Padma P. Tadi Uppala, Rubens Maciel Filho, Mabio R. C. Neto, Hyun J. Kwon

ARTIGO

Inglês

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...

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

Aberto

Data-driven modeling of smartphone-based electrochemiluminescence sensor data using artificial intelligence

Elmer Ccopa Rivera, Jonathan J. Swerdlow, Rodney L. Summerscales, Padma P. Tadi Uppala, Rubens Maciel Filho, Mabio R. C. Neto, Hyun J. Kwon


										

Data-driven modeling of smartphone-based electrochemiluminescence sensor data using artificial intelligence

Elmer Ccopa Rivera, Jonathan J. Swerdlow, Rodney L. Summerscales, Padma P. Tadi Uppala, Rubens Maciel Filho, Mabio R. C. Neto, Hyun J. Kwon

    Fontes

    Sensors

    Vol. 20, no. 3 (Feb., 2020), n. art. 625