Authors:
Jordi Torres
1
;
Garazi Artola
2
;
3
;
1
;
Nekane Larburu
2
;
1
;
Amaia Agirre
4
;
Elixabete Narbaiza
4
;
Idoia Berges
3
and
Ainhoa Lizaso
1
Affiliations:
1
Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), Mikeletegi 57, 20009 Donostia-San Sebastián, Spain
;
2
Biodonostia Health Research Institute, (Bioengineering Area), eHealth Group, 20014 San Sebastián, Spain
;
3
Computer Languages and Systems Department, Faculty of Informatics, University of the Basque Country UPV/EHU, 20018 Donostia-San Sebastián, Spain
;
4
Grupo Ausolan, 20500, Arrasate, Spain
Keyword(s):
Decision Support System, Nutritional Recommendation, Malnutrition, Comorbidity, Ageing.
Abstract:
Malnutrition is a frequent problem in the elderly population, who usually is affected by one or more pathologies. The health status of these patients can get worsened if malnutrition is left untreated. Nutritional guidelines have been developed to fulfil the nutritional needs derived from certain pathologies, but still are not easy to use. Digital tools can help implement and use these guidelines in real clinical scenarios. Current solutions are designed around a single pathology or specific scenario, but the pluripathologic scenario presents a challenge when it comes to provide nutritional support. In this paper, we present an adaptative tool that provides personalized nutritional recommendations for pluripathological patients in an efficient way, and can be extended to include other pathologies.