[u' @inproceedings{almeida_ontology_2022, address = {Split}, title = {An {Ontology} for {Quality} of {Life} {Modeling} in {Head} and {Neck} {Cancer}}, isbn = {978-953-290-115-3}, abstract = {As survivorship chances for cancer improve, the necessity to properly manage the quality of life post-treatment increases. Head and Neck Cancer is one of the most prevalent ones (being the seventh most common cancer in the world). In this paper we introduce the BD4QoL Ontology, which provides a comprehensive and integrated data model for H\\&N cancer survivors. The presented ontology models several relevant areas of the knowledge domain: the patients clinical and demographic data, the questionnaires commonly used to ascertain their QoL and the related behavioral and emotional traits that can be used to infer the QoL.}, booktitle = {Proceedings of the 7th {International} {Conference} on {Smart} and {Sustainable} {Technologies} ({Splitech} 2022)}, publisher = {FESB, University of Split}, author = {Almeida, Aitor and Bilbao Jayo, Aritz and Hernandez, Liss and Lopez-Perez, Laura and Est\xe9vez-Priego, Estefania and Fico, Giuseppe and Taylor, Katherine and Singer, Susanne and Mercalli, Franco and Filippidou, Despina Elisabeth and Martinelli, Elena and Cavalieri, Stefano and Licitra, Lisa}, month = apr, year = {2022}, keywords = {AI for health, QoL, artificial intelligence, bd4qol, behavior modelling, cancer, head and neck cancer, ontologies, quality of life, wos}, } ']