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Suicide prevention research increasingly leverages social media data, where individuals often share personal experiences and emotions. While most studies rely on textual analysis to detect suicidal ideation, the structural characteristics of online social networks remain underexplored.
Abstract Early hospital readmission in multimorbid patients remains a major clinical challenge. Although risk stratification tools are widely used, predictive performance is often limited. The PROFUND index captures frailty, functional dependence, and social vulnerability, but its role in predicting 30-day readmission is unclear. In this prospective multicentre cohort study, multimorbid patients admitted to Internal Medicine and Geriatrics departments were followed after discharge.
1. Introduction E-commerce has grown significantly in recent years, both in terms of the number of users and the number of commercial websites. eMarketer [1] estimated that the growth of e-commerce sales in 2020 over the previous year would be 27.6%, for a total of USD 4.28 trillion. Statista [2] projected that e-retail sales would increase to USD 5.4 trillion by 2022.
Investigación Fecha de primera publicación: 30/11/2020 Gorka Azkune, del grupo de investigación IXA. Foto: UPV/EHU El grupo IXA de la UPV/EHU ha empleado técnicas de procesamiento del lenguaje natural para afrontar una de las mayores dificultades de las casas inteligentes: los sistemas desarrollados para inferir las actividades de un entorno determinado no funcionan al aplicarlos en otro, porque no solo difieren los sensores sino también las actividades.
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