Use of an Artificial Neural Network to Identify Patient Clusters in a Large Cohort of Patients with Melanoma by Simultaneous Analysis of Costs and Clinical Characteristics

Authors

  • Giovanni Damiani
  • Alessandra Buja
  • Enzo Grossi
  • Michele Rivera
  • Anna De Polo
  • Giuseppe De Luca
  • Manuel Zorzi
  • Antonella Vecchiato
  • Paolo Del Fiore
  • Mario Saia
  • Vincenzo Baldo
  • Massimo Rugge
  • Carlo Riccardo Rossi
  • Gianfranco Damiani

DOI:

https://doi.org/10.2340/00015555-3680

Keywords:

artificial neural networks, cutaneous melanoma, costs, semantic connectivity map, non-linear associations, machine learning

Abstract

Abstract is missing (Short communication)

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Published

2020-11-18

How to Cite

Damiani, G., Buja, A., Grossi, E., Rivera, M., De Polo, A., De Luca, G., Zorzi, M., Vecchiato, A., Del Fiore, P., Saia, M., Baldo, V., Rugge, M., Rossi, C. R., & Damiani, G. (2020). Use of an Artificial Neural Network to Identify Patient Clusters in a Large Cohort of Patients with Melanoma by Simultaneous Analysis of Costs and Clinical Characteristics. Acta Dermato-Venereologica, 100(18), 1–3. https://doi.org/10.2340/00015555-3680

Issue

Vol. 100 No. 18 (2020): November

Section

Short Communication

License

Copyright (c) 2020 Giovanni Damiani, Alessandra Buja, Enzo Grossi, Michele Rivera, Anna De Polo, Giuseppe De Luca, Manuel Zorzi, Antonella Vecchiato, Paolo Del Fiore, Mario Saia, Vincenzo Baldo, Massimo Rugge, Carlo Riccardo Rossi, Gianfranco Damiani

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