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

Journals

  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
  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