Published on in Vol 6 , No 2 (2018) :Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9960, first published .
Predicting the Reasons of Customer Complaints: A First Step Toward Anticipating Quality Issues of In Vitro Diagnostics Assays with Machine Learning

Predicting the Reasons of Customer Complaints: A First Step Toward Anticipating Quality Issues of In Vitro Diagnostics Assays with Machine Learning

Predicting the Reasons of Customer Complaints: A First Step Toward Anticipating Quality Issues of In Vitro Diagnostics Assays with Machine Learning

Authors of this article:

Stephane Aris-Brosou 1 Author Orcid Image ;   James Kim 2 Author Orcid Image ;   Li Li 2 Author Orcid Image ;   Hui Liu 2 Author Orcid Image

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  1. Tarekegn A, Ricceri F, Costa G, Ferracin E, Giacobini M. Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches. JMIR Medical Informatics 2020;8(6):e16678 View
  2. Long G, Hussen M, Dench J, Aris-Brosou S. Identifying genetic determinants of complex phenotypes from whole genome sequence data. BMC Genomics 2019;20(1) View