This paper is in the following e-collection/theme issue:

Machine Learning (1501)

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-Brosou1 Author Orcid Image ;   James Kim2 Author Orcid Image ;   Li Li2 Author Orcid Image ;   Hui Liu2 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

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  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
  3. Hulsen T, Friedecký D, Renz H, Melis E, Vermeersch P, Fernandez-Calle P. From big data to better patient outcomes. Clinical Chemistry and Laboratory Medicine (CCLM) 2023;61(4):580 View