AIMC Topic: Spain

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An assessment of the barriers to the consumers' uptake of genetically modified foods: a neural network analysis.

Journal of the science of food and agriculture
BACKGROUND: This paper studies which of the attitudinal, cognitive and socio-economic factors determine the willingness to purchase genetically modified (GM) food, enabling the forecasting of consumers' behaviour in Andalusia, southern Spain. This cl...

Assessment of ultrafine particles and noise measurements using fuzzy logic and data mining techniques.

The Science of the total environment
This study focuses on correlations between total number concentrations, road traffic emissions and noise levels in an urban area in the southwest of Spain during the winter and summer of 2009. The high temporal correlation between sound pressure leve...

Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets.

Statistics in medicine
Inverse probability weights used to fit marginal structural models are typically estimated using logistic regression. However, a data-adaptive procedure may be able to better exploit information available in measured covariates. By combining predicti...

[An objective overview of lifestyle and quality of life in the Spanish population: a quantification of nutri-indices and qualitative health nutritypes].

Nutricion hospitalaria
Introduction: precision nutritional epidemiology studies require the development of initiatives to obtain objective population data that enable the implementation of health strategies. Therefore, the integration of health determinants and risk factor...

Cost-effectiveness of a machine learning risk prediction model (LungFlag) in the selection of high-risk individuals for non-small cell lung cancer screening in Spain.

Journal of medical economics
OBJECTIVE: The LungFlag risk prediction model uses individualized clinical variables to identify individuals at high-risk of non-small cell lung cancer (NSCLC) for screening with low-dose computed tomography (LDCT). This study evaluates the cost-effe...

Can AI Outperform Human Aspirants? Evaluating 3 ChatGPT Models on the Spanish FIR and BIR Specialized Health Examinations.

The journal of applied laboratory medicine
BACKGROUND: Artificial intelligence (AI) models are increasingly used in academic and clinical settings that require information synthesis and decision-making. This study explores the performance, accuracy, and reproducibility of 3 OpenAI models-GPT-...

An informed machine learning based environmental risk score for hypertension in European adults.

Artificial intelligence in medicine
BACKGROUND: The exposome framework seeks to unravel the cumulated effects of environmental exposures on health. However, existing methods struggle with challenges including multicollinearity, non-linearity and confounding. To address these limitation...

Navigating autonomy, privacy, and ageism in robot home care with aged users: A preliminary analysis of ROB-IN.

Bioethics
In this article, I propose an ethical analysis of assistive domestic robots for older users. In doing so, I illustrate my inquiry with the example of ROB-IN assistive robot. ROB-IN is a Spanish project which is devoted to developing a robot that will...

From Admission to Discharge: Leveraging NLP for Upstream Primary Coding with SNOMED CT.

Journal of medical systems
This study aims to describe implementing a SNOMED CT-coded health problem (HP) list at Hospital Clínic de Barcelona. The project focuses on enhancing the accuracy and efficiency of clinical coding by automating the process from patient admission, whi...