@incollection{Serrano Alarc{\´o}nMart{\´i}nez MadridSeepold2024,
  author    = {Serrano Alarc{\´o}n, {\´A}ngel and Mart{\´i}nez Madrid, Natividad and Seepold, Ralf},
  title     = {Influence of gender and age distinction on patient data for sleep apnea detection using artificial intelligence models},
  booktitle = {Models and applications for embedded systems},
  editor    = {Conti, Massimo and Orcioni, Simone},
  isbn      = {978-88-87548-00-6},
  url       = {http://www.dii.univpm.it/MAES-2023},
  institution = {Informatik},
  pages     = {15 -- 18},
  year      = {2024},
  abstract  = {The massive use of patient data for the training of artificial intelligence algorithms is common nowadays in medicine. In this scientific work, a statistical analysis of one of the most used datasets for the training of artificial intelligence models for the detection of sleep disorders is performed: sleep health heart study 2. This study focuses on determining whether the gender and age of the patients have a relevant influence to consider working with differentiated datasets based on these variables for the training of artificial intelligence models.},
  language  = {en}
}