Browsing by Author "Larrañaga Uribeetxeberria, Igor"

Now showing items 1-3 of 3

Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data

Mar Medina, Javier; Gorostiza, Ania; Arrospide, Arantzazu; Larrañaga Uribeetxeberria, Igor; Alberdi Aramendi, Ane; Cernuda, Carlos; Iruin, Álvaro; Tainta, Mikel; Mar Barrutia, Lorea; Ibarrondo Olagüenaga, Oliver (Elsevier, 2022)

Introduction Incidence rates of dementia-related neuropsychiatric symptoms (NPS) are not known and this hampers the assessment of their population burden. The objective of this study was to obtain an approximate estimate ...
Health care costs of breast, prostate, colorectal and lung cancer care by clinical stage and cost component = Costes de la atención de los cánceres de mama, próstata, colorrectal y pulmón por estadio clínico y componente de coste

Soto-Gordoa, Myriam (Elsevier España, S.L.U., 2021)

Objective: To measure 3-year care costs of breast, prostate, colorectal and lung cancers disaggregated bysite and clinical stage.Method: A retrospective observational design was employed to investigate care costs of cases ...
Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data

Cernuda, Carlos; Ezpeleta, Enaitz; Alberdi Aramendi, Ane (IOS Press, 2020)

Background: Neuropsychiatric symptoms (NPS) are the leading cause of the social burden of dementia but their role is underestimated. Objective: The objective of the study was to validate predictive models to separately ...

Browsing by Author "Larrañaga Uribeetxeberria, Igor"

Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data ﻿

Health care costs of breast, prostate, colorectal and lung cancer care by clinical stage and cost component = Costes de la atención de los cánceres de mama, próstata, colorrectal y pulmón por estadio clínico y componente de coste ﻿

Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data ﻿

Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data

Health care costs of breast, prostate, colorectal and lung cancer care by clinical stage and cost component = Costes de la atención de los cánceres de mama, próstata, colorrectal y pulmón por estadio clínico y componente de coste

Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data