Rafael Nozal Cañadas


Stipendiáhtta i helsedata (epidemiologi)

Virgečilgehus

Jeg studerer hvordan virkelige sosiale nettverk sprer patogener og andre negative tilstander (som fedme eller depresjon). Tusen takk til alle som er involvert i Fit Future helseundersøkelsehttps://uit.no/research/fitfutures?p_document_id=668286&Baseurl=/research/


  • María Luz Gámiz, Fernando Navas-Gómez, Rafael Nozal Cañadas, Rocío Raya-Miranda :
    Unsupervised and supervised learning for the reliability analysis of complex systems
    Quality and Reliability Engineering International 2023 ARKIV / DOI
  • Dina Benedicte Berg Stensen, Rafael Nozal Cañadas, Lars Småbrekke, Karina Olsen, Christopher Sivert Nielsen, Kristian Svendsen et al.:
    Social network analysis of Staphylococcus aureus carriage in a general youth population
    International Journal of Infectious Diseases 2022 ARKIV / FULLTEKST / DOI
  • María Luz Gámiz, Anton Kalén, Rafael Nozal Cañadas, Rocío Raya-Miranda :
    Statistical supervised learning with engineering data: a case study of low frequency noise measured on semiconductor devices
    The International Journal of Advanced Manufacturing Technology 2022 ARKIV / DOI
  • Mohsen Gamal Saad Askar, Rafael Nozal Cañadas, Kristian Svendsen :
    An introduction to network analysis for studies of medication use
    Research in Social and Administrative Pharmacy 2021 ARKIV / DOI
  • Maria Luz Gámiz, Rafael Nozal Cañadas, Rocío Raya-Miranda :
    TTT-SiZer: A graphic tool for aging trends recognition
    Reliability Engineering & System Safety 2020 DOI

  • The 50 latest publications is shown on this page. See all publications in Cristin here →