Isabel De la Torre Díez

Isabel De la Torre Díez
Universidad de Valladolid | UVA · Department of Signal Theory and Communications and Telematic Engineering

Full Professor
Leader of eHealth and Telemedicine Group (GTe) at University of Valladolid, Spain.

About

329
Publications
120,354
Reads
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5,548
Citations
Introduction
Currently, I am a Professor in the Department of Signal Theory and Communications and Telematic Engineering at the University of Valladolid, Spain. My research interests include design, development and evaluation of Telemedicine applications, services and systems, e-health, m-health, EHRs (Electronic Health Records), EHRs standards, biosensors, cloud and fog computing, data mining, QoS (Quality of Service) and QoE (Quality of Experience) applied to the health field. I am the leader of GTe Research Group (more info at: http://sigte.tel.uva.es). Google Scholar profile: https://scholar.google.es/citations?user=82k6rgsAAAAJ&hl=es&oi=ao Publons profile: https://publons.com/researcher/1324849/isabel-de-la-torre
Additional affiliations
March 2018 - present
Universidad de Valladolid
Position
  • Professor
August 2011 - March 2018
Universidad de Valladolid
Position
  • Professor (Associate)
October 2004 - present
University of Valladolid
Position
  • Teaching subjects related to Telematic Networks and Services , business intelligence, e-services, NGN, innovation
Education
October 2005 - March 2010
Universidad de Valladolid
Field of study
  • Telemedicine
September 1997 - February 2003
Universidad de Valladolid
Field of study
  • Telecommunications

Publications

Publications (329)
Article
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Each year, more than 400,000 people die of malaria. Malaria is a mosquito-borne transmissible infection that affects humans and other animals. According to World Health Organization (WHO), 1.5 billion malaria cases and 7.6 million related deaths have been prevented from 2000 to 2019. Malaria is a disease that can be treated if early detected. We pr...
Article
The Innovation Committees in companies manage to obtain significant results in the creation of intellectual property intangibles, which increases their income, reduces costs and maintains a project portfolio of new products on the market, in an agile manner and aligned with market needs. Against with open and global competition, it is important for...
Preprint
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RESUMEN: Los pacientes con enfermedades crónicas, su gestión por procesos y su atención socio-sanitaria integral representa uno de los principales retos actuales para los sistemas de salud de cualquier país. Debido al incremento de la longevidad y la esperanza de vida, el número de personas con pluripatologías que demandan atención por su carácter...
Article
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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)...
Article
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Data leakage is a problem that companies and organizations face every day around the world. Mainly the data leak caused by the internal threat posed by authorized personnel to manipulate confidential information. The main objective of this work is to survey the literature to detect the existing techniques to protect against data leakage and to iden...
Article
Chest radiographs are widely used in the medical domain and at present, chest X-radiation particularly plays an important role in the diagnosis of medical conditions such as pneumonia and COVID-19 disease. The recent developments of deep learning techniques led to a promising performance in medical image classification and prediction tasks. With th...
Article
Background: Connected mental health (CMH) presents several technology-based solutions, which can help overcome many mental care delivery barriers. However, attitudes toward the use of CMH are diverse and differ from a cohort to another. Objective: The purpose of this study is to investigate the global attitudes toward CMH use and assess the use of...
Article
Full-text available
Citation: Shahzad, H.F.; Rustam, F.; Flores, E.S.; Luís Vidal Mazón, J.; de la Torre Diez, I.; Ashraf, I. A Review of Image Processing Techniques for Deepfakes. Sensors 2022, 22, 4556.
Article
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Pneumonia is one of the leading causes of death in both infants and elderly people, with approximately 4 million deaths each year. It may be a virus, bacterial, or fungal, depending on the contagious pathogen that damages the lung’s tiny air sacs (alveoli). Patients with underlying disorders such as asthma, a weakened immune system, hospitalized ba...
Article
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New computational methods have emerged through science and technology to support the diagnosis of mental health disorders. Predictive models developed from machine learning algorithms can identify disorders such as schizophrenia and support clinical decision making. This research aims to compare the performance of machine learning algorithms: Decis...
Article
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During the first confinement in Spain, between the months of March to June 2020, Information and Communication Technologies strategies were implemented in order to support health workers in the Wellbeing of Mental Health. Faced with so much uncertainty about the pandemic, an Online Mindfulness course. The objective of the course was to support heal...
Patent
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IPTVCARE es una plataforma en la nube consecuencia del proyecto europeo WeTakeCare: Collaborative interaction in caring & training to improve the autonomy in Activities of Daily Living (2013-2016) http://wetakecare.ibv.org/ Este proyecto ha sido financiado con por el Ambient Assisted Living (AAL). Joint Programme: Call 5, ICT-based Solutions for S...
Conference Paper
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Technology integration in the field of mental health helps prevent cognitive decline in patients. If older users do not adopt service-based Information and Communication Technologies, they will face problems in managing their daily lives. The main objective of our work is to analyze the usability of the Long Lasting Memories program among mental he...
Article
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Alzheimer’s disease (AD) is a remarkable challenge for healthcare in the 21st century. Since 2017, deep learning models with transfer learning approaches have been gaining recognition in AD detection, and progression prediction by using neuroimaging biomarkers. This paper presents a systematic review of the current state of early AD detection by us...
Article
Mental disorders are a critical public health challenge since they profoundly affected people lifestyle. Mental healthcare treatments aim to promote a higher quality of life of the patients. These procedures include interventions for prolonged mental illness which can be supported by telemedicine technologies. This paper presents a comprehensive an...
Article
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Despite the increasing demand for artificial intelligence research in medicine, the functionalities of his methods in health emergency remain unclear. Therefore, the authors have conducted this systematic review and a global overview study which aims to identify, analyse, and evaluate the research available on different platforms, and its implement...
Article
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The main objective of this paper is to review and analysis of the state of the art regarding triage applications (apps) for health emergencies. This research is based on a systematic review of the literature in scientific databases from 2010 to early 2021, following a prism methodology. In addition, a Google Play Store search of the triage apps fou...
Preprint
BACKGROUND To address the current pandemic, multiple studies have focused on the development of new mHealth applications to help curb the number of infections, these applications aim to accelerate the identification and self-isolation of people exposed to SARS-CoV- 2, the coronavirus known to cause COVID-19, by being in close contact with infected...
Article
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Objectives: To develop and validate a scale to stratify risk of 2-day mortality based on data collected during calls to an emergency dispatch center from patients with suspected coronavirus disease 2019 (COVID-19). Material and methods: Retrospective multicenter study of consecutive patients over the age of 18 years with suspected COVID-19 who w...
Article
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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 mindf...
Preprint
Full-text available
The aim of this study was to build a tool to analyze, using artificial intelligence, 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 daily l...
Article
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Opinion Mining (OM) is a field of Natural Language Processing (NLP) that aims to capture human sentiment in the given text. With the ever-spreading of online purchasing websites, micro-blogging sites, and social media platforms, OM in online social media platforms has picked the interest of thousands of scientific researchers. Because the reviews,...
Article
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Introduction Incorporating technology in cognitive interventions represents an innovation, making them more accessible, flexible, and cost-effective. This will not be feasible without adequate user-technology fit. Bearing in mind the importance of developing cognitive interventions whose technology is appropriate for elderly people with cognitive i...
Article
Background The coronavirus disease 2019 (COVID-19) pandemic has had an impact on several aspects of life, including university students’ mental health. Mobile mental care applications (apps) comprise a form of online mental care that enables the delivery of remote mental care. Objectives This study aimed to explore the impact of COVID-19 on the me...
Article
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COVID-19 had led to severe clinical manifestations. In the current scenario, 98 794 942 people are infected, and it has responsible for 2 124 193 deaths around the world as reported by World Health Organization on 25 January 2021. Telemedicine has become a critical technology for providing medical care to patients by trying to reduce transmission o...
Article
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At present, with the growing number of Web 2.0 platforms such as Instagram, Facebook, and Twitter, users honestly communicate their opinions and ideas about events, services, and products. Owing to this rise in the number of social platforms and their extensive use by people, enormous amounts of data are produced hourly. However, sentiment analysis...
Book
In recent years, new applications on computer-aided technologies for telemedicine have emerged. Therefore, it is essential to capture this growing research area concerning the requirements of telemedicine. This book presents the latest findings on soft computing, artificial intelligence, Internet of Things and related computer-aided technologies fo...
Article
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In the mobile device market there is a large number of applications to help people monitor intake or provide suggestions to lose weight and manage a healthy diet. However, the vast majority of these apps consume a lot of time by having to introduce food one by one. This paper presents the work to develop and pilot test a new Android application, Fo...
Conference Paper
Full-text available
IPTVCare es un sistema multimodal, interactivo accesible, usable, adaptativo, gamificado y colaborativo que facilita la capacitación online y la mejora de la autonomía en las actividades de la vida diaria, ADL (Activities of Daily Living) para personas mayores independientes y sus cuidadores. IPTVCare está construido principalmente por soluciones d...
Conference Paper
Full-text available
TELEDU es un ecosistema compuesto por una serie de componentes software y hardware que permite usar los recursos de Internet a través de la TV Digital Interactiva (iDTV) sin necesidad de estar continuamente conectado a Internet, es decir, este ecosistema está indicado para usuarios que no tienen Internet de banda ancha en casa, aunque es necesario...
Article
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According to the World Health Organization (WHO) report in 2016, around 800,000 of individuals have committed suicide. Moreover, suicide is the second cause of unnatural death in people between 15 and 29 years. This paper reviews state of the art on the literature concerning the use of machine learning methods for suicide detection on social networ...
Article
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Background Mental health disorders are a problem that affects patients, their families, and the professionals who treat them. Hospital admissions play an important role in caring for people with these diseases due to their effect on quality of life and the high associated costs. In Spain, at the Healthcare Complex of Zamora, a new disease managemen...
Article
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Background: Italy experienced one of the world's severest COVID-19 outbreak, with Lombardy being the most afflicted region. However, the imposed safety measures allowed to flatten the epidemic curve and hence to ease the restrictions and inaugurate, on the 4th of May 2020, the Italian phase (P) 2 of the pandemic. The present survey study, endorsed...
Article
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The realm of cloud computing has revolutionized access to cloud resources and their utilization and applications over the Internet. However, deploying cloud computing for delay critical applications and reducing the delay in access to the resources are challenging. The Mobile Edge Computing (MEC) paradigm is one of the effective solutions, which br...
Article
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Background The growing number of older people and, with it, the increase of neurological impairments such as dementia has led to the implementation of the use of computer programs for cognitive rehabilitation in people with dementia. For 20 years, we have been developing the GRADIOR cognitive rehabilitation program and conducted several studies ass...
Article
Background: e-Mental health is an established field of exploiting information and communication technologies for mental health care. It offers different solutions and has shown effectiveness in managing many psychological issues. Introduction: The coronavirus disease 2019 (COVID-19) pandemic has critically influenced health care systems and health...
Article
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The main objective of this paper is to present a systematic analysis and review of the state of the art regarding the prediction of absenteeism and temporary incapacity using machine learning techniques. Moreover, the main contribution of this research is to reveal the most successful prediction models available in the literature. A systematic revi...
Article
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In underwater wireless sensor networks (UWSNs), protocols with efficient energy and reliable communication are challenging, due to the unpredictable aqueous environment. The sensor nodes deployed in the specific region can not last for a long time communicating with each other because of limited energy. Also, the low speed of the acoustic waves and...
Article
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A compact textile ultra-wideband (UWB) antenna with an electrical dimension of 0.24λo × 0.24λo × 0.009λo with microstrip line feed at lower edge and a frequency of operation of 2.96 GHz is proposed for UWB application. The analytical investigation using circuit theory concepts and the cavity model of the antenna is presented to validate the design....
Article
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ABSTRACT Nowadays, coronavirus (COVID-19) is getting international attention due it considered as a life-threatened epidemic disease that hard to control the spread of infection around the world. Machine learning (ML) is one of intelligent technique that able to automatically predict the event with reasonable accuracy based on the experience and le...
Article
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Background: Employing software engineering to build an integrated, standardized, and scalable solution is closely associated with the healthcare domain. Furthermore, new diagnostic techniques have been developed to obtain better results in less time, saving costs, and bringing services closer to the most unprotected areas. Objective: This paper pr...
Preprint
Full-text available
BACKGROUND For the mobile device market there is a large number of applications that allow the control of food to lose weight and manage a healthy diet. However, the vast majority of these apps consume a lot of time by having to introduce food, one by one, for that control. OBJECTIVE This work presents a new Android application, FoodScan, aimed at...
Preprint
Full-text available
BACKGROUND In most recent times, global concern has been caused by a coronavirus (COVID19), which is considered a global health threat due to its rapid spread across the globe. Machine learning (ML) is a computational method that can be used to automatically learn from experience and improve the accuracy of predictions. OBJECTIVE In this study, th...
Article
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In healthcare applications, numerous sensors and devices produce massive amounts of data which are the focus of critical tasks. Their management at the edge of the network can be done by Fog computing implementation. However, Fog Nodes suffer from lake of resources That could limit the time needed for final outcome/analytics. Fog Nodes could perfor...
Preprint
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BACKGROUND Mobile health apps are used to improve the quality of health care. These apps are changing the current scenario in health care, and their numbers are increasing. OBJECTIVE We wanted to perform an analysis of the current status of mobile health technologies and apps for medical emergencies. We aimed to synthesize the existing body of kno...
Article
Full-text available
Background Mobile health apps are used to improve the quality of health care. These apps are changing the current scenario in health care, and their numbers are increasing. Objective We wanted to perform an analysis of the current status of mobile health technologies and apps for medical emergencies. We aimed to synthesize the existing body of kno...
Article
Nowadays, keeping a strong and good health is one of the main concern of the general public or governments. The Internet of Things (IoT) has been emerged as an efficient solution to build smart healthcare systems deployed either at hospitals or in-home. Such networks rely on biomedical sensors which are used in electronics-based medical equipment t...
Article
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Depression is one of the most important causes of disability due to illness in our environment. The primary care health system receives a high percentage of this consultation about psychological distress. Often this end in a pharmacological overtreatment in patients with mild depression, due to a lack of access to alternative tools for management....