Begonya García-Zapirain
Datos Biográficos
| ID | 6775321 |
|---|---|
| NOMBRE | Begonya García-Zapirain |
| NOMBRES | Begonya |
| APELLIDO | García-Zapirain |
| FIRMA | GARCÍA-ZAPIRAIN B |
| AFILIACIONES | Universidad de Deusto |
| ORCID | 0000-0002-9356-1186 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 32 |
| TOTAL DE CITAS | 1 |
| TOTAL COMO AUTOR | 32 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2013 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 1 |
AI driven Integrated Care based on healthy nutrition
Background: Plant-derived proteins called LTPs are known to be major food allergens and are involved in lipid transport. LTPs are allergens that can trigger severe allergic reactions due to their high stability, which allows them to withstand heat and digestive enzymes.A variety of fruits, vegetables, nuts, and seeds contain these proteins, with peaches, apples, cherries, grapes, and some dried fruits having the highest amounts. As the risk in ch…
An Integrated Care Approach for Improved Health Management
Background: Obstructive sleep apnea is a common and sometimes fatal condition characterized by frequent pauses in breathing during sleep. It is estimated to affect between 9% and 38% of all adults. It affects between 5% and 10% of middle-aged adults and up to 20% or 30% of older people (65 years or older), and prevalence increases with age and obesity. Geographic differences exist because different countries and ethnic groups may experience diffe…
Multisource data for monitoring and intervention of loneliness in the elderly
Loneliness is harmful to health like smoking, obesity or environmental pollution and is considered a critical public health issue. Studies report that between 24.7% and 33% of people feel lonely. In the population over 80 years it has increased since 1970 from 11% to 50%. Loneliness increases a person’s risk of premature death from all causes, including dementia and heart disease. In the elderly, it causes difficulty in maintaining an independent…
EEG and fNirs Data for Pain Monitoring and Detection in a Neurofeedback System
Pain represents a disagreeable sensory and emotional sensation usually stemming from real or potential harm to bodily tissues [1]. It's a unique experience that varies from person to person due to its inherently subjective nature, influenced by biological, psychological, and social factors [2]. Over the course of life, individuals develop their understanding of pain. When it comes to conveying pain, it's not confined to verbal descriptions alone,…
Viveweb
Emotions, the sensations that evoke feelings, play a pivotal role in shaping our memories. They serve as the architects, carefully selecting and preserving significant life events in a more enduring manner. Typically, we tend to retain experiences that leave a profound impact on us. However, as we age, cognitive decline sets in, particularly marked by a diminishing memory capacity. Our present identity is a product of our past experiences, render…
Natural language processing analysis applied to Covid-19 open-text opinions using a distilBert model for sentiment categorization
COVID-19 is a disease that affects the quality of life in all aspects. However, the government policy applied in 2020 impacted the lifestyle of the whole world. In this sense, the study of sentiments of people in different countries is a very important task to face future challenges related to lockdown caused by a virus. To contribute to this objective, we have proposed a natural language processing model with the aim to detect positive and negat…
Are AI systems biased against the poor? A machine learning analysis using Word2Vec and GloVe embeddings
Among the myriad of technical approaches and abstract guidelines proposed to the topic of AI bias, there has been an urgent call to translate the principle of fairness into the operational AI reality with the involvement of social sciences specialists to analyse the context of specific types of bias, since there is not a generalizable solution. This article offers an interdisciplinary contribution to the topic of AI and societal bias, in particul…
Assessment of a technological solution for helping elderly to monitor and mitigate frailty
frAAgiLe is a health focused, digital based project that aims at becoming a holistic system for monitoring and dealing with the symptoms of frailty in senior users around Europe. Throughout the last 2 years, the digital solution has been tested in different healthcare and wellbeing centres in Europe. The users ́feedback has been positive and the implementation of AI algorithms has become possible after the creation of the necessary databases. The…
Big Data and IoT system using a serverless architecture for monitoring and intervention of loneliness in the elderly
An accelerated growth in the life expectancy of the elderly is being caused by medical advancements in recent decades and the decline in birth rates. Therefore, comprehensive care of the elderly represents a major issue. In addition, loneliness and depression have become major emotional disorders of high incidence in this sector of the population, causing difficulty in maintaining an independent life. Thus, this area of attention deserves great a…
Analysis of the Effects of Lockdown on Staff and Students at Universities in Spain and Colombia Using Natural Language Processing Techniques
The aim of this study is to analyze the effects of lockdown using natural language processing techniques, particularly sentiment analysis methods applied at large scale. Further, our work searches to analyze the impact of COVID-19 on the university community, jointly on staff and students, and with a multi-country perspective. The main findings of this work show that the most often related words were "family", "anxiety", "house", and "life". Besi…
Application of Machine Learning Techniques to Help in the Feature Selection Related to Hospital Readmissions of Suicidal Behavior
Suicide was the main source of death from external causes in Spain in 2020, with 3,941 cases. The importance of identifying those mental disorders that influenced hospital readmissions will allow us to manage the health care of suicidal behavior. The feature selection of each hospital in this region was carried out by applying Machine learning (ML) and traditional statistical methods. The results of the characteristics that best explain the readm…
Sailgility
The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 5.120 (2020 JCR, received in June 2021)The IJIC 20th Anniversary Issue was published in 2021
Sapa
The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 5.120 (2020 JCR, received in June 2021)The IJIC 20th Anniversary Issue was published in 2021
Chop it! Game”
The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 5.120 (2020 JCR, received in June 2021)The IJIC 20th Anniversary Issue was published in 2021
FrAAgiLe ́s testing
The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 2.913 (2021 JCR, received in June 2022)The IJIC 20th Anniversary Issue was published in 2021
Sentiment Analysis Techniques Applied to Raw-Text Data from a Csq-8 Questionnaire about Mindfulness in Times of Covid-19 to Improve Strategy Generation
The use of artificial intelligence in health care has grown quickly. In this sense, we present our work related to the application of Natural Language Processing techniques, as a tool to analyze the sentiment perception of users who answered two questions from the CSQ-8 questionnaires with raw Spanish free-text. Their responses are related to mindfulness, which is a novel technique used to control stress and anxiety caused by different factors in…
The Impact of Covid 19 on University Staff and Students from Iberoamerica
(1) Background: The COVID-19 pandemic has created a great impact on mental health in society. Considering the little attention paid by scientific studies to either students or university staff during lockdown, the current study has two aims: (a) to analyze the evolution of mental health and (b) to identify predictors of educational/professional experience and online learning/teaching experience. (2) Methods: 1084 university students and 554 staff…
HGLUTEN Tool
hGLUTEN is a technological solution capable of detecting gluten and spoiled food. We measured the social impact of the hGLUTEN tool using two Likert scale surveys with two groups: professionals (engineers/chefs) and end-users. These data have been assessed in accordance with the social impact indicators defined for the Key Impact Pathways introduced by the European Commission for Horizon Europe and the criteria of the Social Impact Open Repositor…
Executive Functioning in Adults with Down Syndrome
The study of executive function decline in adults with Down syndrome (DS) is important, because it supports independent functioning in real-world settings. Inhibitory control is posited to be essential for self-regulation and adaptation to daily life activities. However, cognitive domains that most predict the capacity for inhibition in adults with DS have not been identified. The aim of this study was to identify cognitive domains that predict t…
Predicting Physical Exercise Adherence in Fitness Apps Using a Deep Learning Approach
The use of mobile fitness apps has been on the rise for the last decade and especially during the worldwide SARS-CoV-2 pandemic, which led to the closure of gyms and to reduced outdoor mobility. Fitness apps constitute a promising means for promoting more active lifestyles, although their attrition rates are remarkable and adherence to their training plans remains a challenge for developers. The aim of this project was to design an automatic clas…
Factors Influencing Care Pathways for Breast and Prostate Cancer in a Hospital Setting
Breast cancer (BCa) and prostate cancer (PCa) are the most prevalent types of cancers. We aimed to understand and analyze the care pathways for BCa and PCa patients followed at a hospital setting by analyzing their different treatment lines. We evaluated the association between different treatment lines and the lifestyle and demographic characteristics of these patients. Two datasets were created using the electronic health records (EHRs) and inf…
VirtuAAL
The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 5.120 (2020 JCR, received in June 2021)
FrAAgiLe
This paper presents the project frAAgile, which fights with technology against fragility, the main issue that most of the elderly citizens go through and the cause for many diseases and even death. Many studies focus on its effects and solutions and some have even proved that its genetic situations can be reversed through exercise. The European Union has understood how relevant fragility is as a problem and has placed its combatting as a priority…
Evaluation of Prevalence of the Sarcopenia Level Using Machine Learning Techniques
The article presents a study based on timeline data analysis of the level of sarcopenia in older patients in Baja California, Mexico. Information was examined at the beginning of the study (first event), three months later (second event), and six months later (third event). Sarcopenia is defined as the loss of muscle mass quality and strength. The study was conducted with 166 patients. A total of 65% were women and 35% were men. The mean age of t…
Frailty Level Monitoring and Analysis after a Pilot Six-Week Randomized Controlled Clinical Trial Using the FRED Exergame Including Biofeedback Supervision in an Elderly Day Care Centre
Background : Frailty is a status of extreme vulnerability to endogenous and exogenous stressors exposing the individual to a higher risk of negative health-related outcomes. Exercise using interactive videos, known as exergames, is being increasingly used to increase physical activity by improving health and the physical function in elderly adults. The purpose of this study is to ascertain the reduction in the degree of frailty, the degree of ind…
Parameters of tongue shape of /n/ and /l/ in Basque
This paper presents an experimental articulatory characterisation of lateral /l/ and nasal /n/ in Basque, using MRI midsagittal images. In order to assess previous observations of retroflexion or velarisation in these consonants in Basque, a battery of articulatory parameters is used which can be directly measured on the images. This set of parameters, focused on the description of the tongue shape and position, permits a fine-grained characteris…
Use of a Time-of-Flight Camera With an Omek BeckonTM Framework to Analyze, Evaluate and Correct in Real Time the Verticality of Multiple Sclerosis Patients during Exercise
Any person with Multiple Sclerosis (MS), regardless of the severity of their disability, needs regular physical activity. Poorly performed exercises could aggravate muscle imbalances and worsen the patient's health. In this paper, we propose a human body verticality detection system using a time-of-flight camera as a tool to detect incorrect postures and improve them in real time. The prototype uses Omek's BeckonTM Framework to analyze and evalua…
Adaptive Tele-Therapies Based on Serious Games for Health for People with Time-Management and Organisational Problems
Attention Deficit with Hyperactivity Disorder (ADHD) is one of the most prevalent disorders within the child population today. Inattention problems can lead to greater difficulties in completing assignments, as well as problems with time management and prioritisation of tasks. This article presents an intelligent tele-therapy tool based on Serious Games for Health, aimed at the improvement of time management skills and the prioritisation of tasks…
An iPad-Based Tool for Improving the Skills of Children with Attention Deficit Disorder
Attention Deficit Hyperactivity Disorder (ADHD), with a worldwide prevalence of 5.29%-7.1%, is one of the most common neurodevelopmental disorders among children and adolescents. Apart from typical symptoms like inattention, hyperactivity and impulsiveness, patients also evidence attention deficit problems with reading comprehension. This in turn causes poor school performance and widens the gap with peers without ADHD. This paper presents a nove…
A Robot-Based Tool for Physical and Cognitive Rehabilitation of Elderly People Using Biofeedback
This publication presents a complete description of a technological solution system for the physical and cognitive rehabilitation of elderly people through a biofeedback system, which is combined with a Lego robot. The technology used was the iOS's (iPhone Operating System) Objective-C programming language and its XCode programming environment; and SQLite in order to create the database. The biofeedback system is implemented by the use of two bio…
Fred
Introduction: Frailty syndrome and advanced age may decrease the acceptance of illness and quality of life, and worsen patients' existing health conditions, as well as leading to an increase in health care expenses. Purpose: The purpose of this study is to reduce frailty risk via the use of a FRED game which has been expressly designed and put together for the study. Materials and methods: A total of 40 frail volunteers with a score of Results: A…
Frailty Level Monitoring and Analysis after a Pilot Six-Week Randomized Controlled Clinical Trial Using the FRED Exergame Including Biofeedback Supervision in an Elderly Day Care Centre
Background : Frailty is a status of extreme vulnerability to endogenous and exogenous stressors exposing the individual to a higher risk of negative health-related outcomes. Exercise using interactive videos, known as exergames, is being increasingly used to increase physical activity by improving health and the physical function in elderly adults. The purpose of this study is to ascertain the reduction in the degree of frailty, the degree of ind…
Automatic Classification of Sarcopenia Level in Older Adults
This paper presents a study based on data analysis of the sarcopenia level in older adults. Sarcopenia is a prevalent pathology in adults of around 50 years of age, whereby the muscle mass decreases by 1 to 2% a year, and muscle strength experiences an annual decrease of 1.5% between 50 and 60 years of age, subsequently increasing by 3% each year. The World Health Organisation estimates that 5-13% of individuals of between 60 and 70 years of age …
Parameters of tongue shape of /n/ and /l/ in Basque
This paper presents an experimental articulatory characterisation of lateral /l/ and nasal /n/ in Basque, using MRI midsagittal images. In order to assess previous observations of retroflexion or velarisation in these consonants in Basque, a battery of articulatory parameters is used which can be directly measured on the images. This set of parameters, focused on the description of the tongue shape and position, permits a fine-grained characteris…
Evaluation of Prevalence of the Sarcopenia Level Using Machine Learning Techniques
The article presents a study based on timeline data analysis of the level of sarcopenia in older patients in Baja California, Mexico. Information was examined at the beginning of the study (first event), three months later (second event), and six months later (third event). Sarcopenia is defined as the loss of muscle mass quality and strength. The study was conducted with 166 patients. A total of 65% were women and 35% were men. The mean age of t…
Sentiment Analysis Techniques Applied to Raw-Text Data from a Csq-8 Questionnaire about Mindfulness in Times of Covid-19 to Improve Strategy Generation
The use of artificial intelligence in health care has grown quickly. In this sense, we present our work related to the application of Natural Language Processing techniques, as a tool to analyze the sentiment perception of users who answered two questions from the CSQ-8 questionnaires with raw Spanish free-text. Their responses are related to mindfulness, which is a novel technique used to control stress and anxiety caused by different factors in…
The Impact of Covid 19 on University Staff and Students from Iberoamerica
(1) Background: The COVID-19 pandemic has created a great impact on mental health in society. Considering the little attention paid by scientific studies to either students or university staff during lockdown, the current study has two aims: (a) to analyze the evolution of mental health and (b) to identify predictors of educational/professional experience and online learning/teaching experience. (2) Methods: 1084 university students and 554 staff…
HGLUTEN Tool
hGLUTEN is a technological solution capable of detecting gluten and spoiled food. We measured the social impact of the hGLUTEN tool using two Likert scale surveys with two groups: professionals (engineers/chefs) and end-users. These data have been assessed in accordance with the social impact indicators defined for the Key Impact Pathways introduced by the European Commission for Horizon Europe and the criteria of the Social Impact Open Repositor…
Executive Functioning in Adults with Down Syndrome
The study of executive function decline in adults with Down syndrome (DS) is important, because it supports independent functioning in real-world settings. Inhibitory control is posited to be essential for self-regulation and adaptation to daily life activities. However, cognitive domains that most predict the capacity for inhibition in adults with DS have not been identified. The aim of this study was to identify cognitive domains that predict t…
Predicting Physical Exercise Adherence in Fitness Apps Using a Deep Learning Approach
The use of mobile fitness apps has been on the rise for the last decade and especially during the worldwide SARS-CoV-2 pandemic, which led to the closure of gyms and to reduced outdoor mobility. Fitness apps constitute a promising means for promoting more active lifestyles, although their attrition rates are remarkable and adherence to their training plans remains a challenge for developers. The aim of this project was to design an automatic clas…
Factors Influencing Care Pathways for Breast and Prostate Cancer in a Hospital Setting
Breast cancer (BCa) and prostate cancer (PCa) are the most prevalent types of cancers. We aimed to understand and analyze the care pathways for BCa and PCa patients followed at a hospital setting by analyzing their different treatment lines. We evaluated the association between different treatment lines and the lifestyle and demographic characteristics of these patients. Two datasets were created using the electronic health records (EHRs) and inf…
VirtuAAL
The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 5.120 (2020 JCR, received in June 2021)
FrAAgiLe
This paper presents the project frAAgile, which fights with technology against fragility, the main issue that most of the elderly citizens go through and the cause for many diseases and even death. Many studies focus on its effects and solutions and some have even proved that its genetic situations can be reversed through exercise. The European Union has understood how relevant fragility is as a problem and has placed its combatting as a priority…
Analysis of the Effects of Lockdown on Staff and Students at Universities in Spain and Colombia Using Natural Language Processing Techniques
The aim of this study is to analyze the effects of lockdown using natural language processing techniques, particularly sentiment analysis methods applied at large scale. Further, our work searches to analyze the impact of COVID-19 on the university community, jointly on staff and students, and with a multi-country perspective. The main findings of this work show that the most often related words were "family", "anxiety", "house", and "life". Besi…
Application of Machine Learning Techniques to Help in the Feature Selection Related to Hospital Readmissions of Suicidal Behavior
Suicide was the main source of death from external causes in Spain in 2020, with 3,941 cases. The importance of identifying those mental disorders that influenced hospital readmissions will allow us to manage the health care of suicidal behavior. The feature selection of each hospital in this region was carried out by applying Machine learning (ML) and traditional statistical methods. The results of the characteristics that best explain the readm…
Sailgility
The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 5.120 (2020 JCR, received in June 2021)The IJIC 20th Anniversary Issue was published in 2021
Sapa
The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 5.120 (2020 JCR, received in June 2021)The IJIC 20th Anniversary Issue was published in 2021
Chop it! Game”
The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 5.120 (2020 JCR, received in June 2021)The IJIC 20th Anniversary Issue was published in 2021
FrAAgiLe ́s testing
The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 2.913 (2021 JCR, received in June 2022)The IJIC 20th Anniversary Issue was published in 2021
Assessment of a technological solution for helping elderly to monitor and mitigate frailty
frAAgiLe is a health focused, digital based project that aims at becoming a holistic system for monitoring and dealing with the symptoms of frailty in senior users around Europe. Throughout the last 2 years, the digital solution has been tested in different healthcare and wellbeing centres in Europe. The users ́feedback has been positive and the implementation of AI algorithms has become possible after the creation of the necessary databases. The…
Big Data and IoT system using a serverless architecture for monitoring and intervention of loneliness in the elderly
An accelerated growth in the life expectancy of the elderly is being caused by medical advancements in recent decades and the decline in birth rates. Therefore, comprehensive care of the elderly represents a major issue. In addition, loneliness and depression have become major emotional disorders of high incidence in this sector of the population, causing difficulty in maintaining an independent life. Thus, this area of attention deserves great a…
Computer Science (20 obras) · Medicine (19 obras) · Psychology (17 obras) · Gerontology (7 obras) · Psychiatry (7 obras) · Artificial Intelligence (6 obras) · Business (5 obras) · Data science (5 obras) · Internal Medicine (5 obras) · Nursing (5 obras)