Susel Góngora Alonso

Susel Góngora Alonso
Universidad de Valladolid | UVA

Master of Research in Information Technology and Communications

About

32
Publications
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366
Citations

Publications

Publications (32)
Article
Full-text available
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...
Conference Paper
Full-text available
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
Full-text available
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
Full-text available
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
Full-text available
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...
Chapter
Full-text available
Mental Health disorders such as schizophrenia, depression, and dementia have a great impact on society worldwide. Recent developments have witnessed numerous advances in telemedicine that allow remote monitoring of elderly people with diseases of this pathology. One of key factors influencing recent advances in health information systems is the use...
Article
Full-text available
Usability Evaluation of the eHealth LLM Program Abstract In recent years there has been a great development of software technology in the field of psychogeriatric research, helping to improve the quality of life of the elderly and preventing cognitive deterioration associated with aging, and thus, decrease the possible dependence. The main objectiv...
Conference Paper
Full-text available
Mental Health disorders such as schizophrenia, depression, and dementia have a great impact on society worldwide. Recent developments have witnessed numerous advances in telemedicine that allow remote monitoring of elderly people with diseases of this pathology. One of key factors influencing recent advances in health information systems is the use...
Article
Full-text available
The QoE measurement has become a novel theme today. To achieve a quality service and minimize the negative impact that traffic on network can cause, it’s very important to manage the devices that intervene in this service. Hence, the QoE evaluation allows obtaining benefits both customers and service providers. The main objective of this paper is t...
Article
Objective: The main aim of our research is to assess the use, satisfaction, and pedagogy of software for neuropsychological rehabilitation by computer, called "Gradior™," to obtain relevant information on the impact of information and communications technology on people with severe and prolonged mental illness. Methods: To evaluate the usability...
Article
Full-text available
Objective: The main objective of this work is to provide a review of existing research work into predictive, personalized, preventive and participatory medicine in telemedicine and health. Methods: The academic databases used for searches are IEEE Xplore, PubMed, Science Direct, Web of Science and ResearchGate, taking into account publication dates...
Article
Full-text available
Background Information and communications technologies are transforming our social interactions and life-styles. One of the most promising applications of information technology is healthcare and wellness management that characterized by early detection of conditions, prevention, and long-term healthcare management. Objective The main purpose of t...
Article
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Background: The blockchain technology has reached a great boom in the health sector, due to its importance to overcome interoperability and security challenges of the EHR and EMR systems in eHealth. Objective: The main objective of this work is to show a review of the existing research works in the literature, referring to the new blockchain techno...
Preprint
In health, Electronic Health Records (EHRs) are one of the main sources. The main objective of this chapter is analyze techniques to help preserve privacy in ehealth and mHealth apps. Some of these techniques are data modification, cryptographic methods and protocols for data sharing and query auditing methods, between others. In the USA, healthcar...
Article
Full-text available
Internet of Things (IoT) has emerged as a new paradigm today, connecting a variety of physical and virtual elements integratedwith electronic components, sensors, actuators and software to collect and exchange data. IoT is gaining increasing attention as apriority research topic in the Health sector in general and in specific areas such as Mental H...
Article
Full-text available
Introduction The telemedicine term represents the contribution of the new technology that combines knowledge exchange between health professionals and provides patients with access to quality services. Also, the adoption of new technology within a health organization is considered a significant change in the process [1,2]. e-Health is a fairly rece...
Article
Full-text available
The provision of Quality of Service (QoS) and Quality of Experience (QoE) is a mandatory requirement when transmitting telemedicine traffic, due to information relevance to maintain the patient’s health. The main objective of this paper is to present a review of existing research works in the literature, referring to QoS and QoE in telemedicine and...
Article
Full-text available
Type 2 diabetes mellitus is a set of metabolic disorders characterized by an increase of blood glucose. The management and progression of diabetes is linked to the behaviour of the patients, since to control their blood glucose levels they must perform a regular physical activity, control diet and weight, and if necessary use medication. Today the...
Article
Full-text available
Background: Data Mining in medicine is an emerging field of great importance to provide a prognosis and deeper understanding of disease classification, specifically in Mental Health areas. Objective: The main objective of this paper is to present a review of the existing research works in the literature, referring to the techniques and algorithms...
Article
Full-text available
Background: Social robots are currently a form of assistive technology for the elderly, healthy, or with cognitive impairment, helping to maintain their independence and improve their well-being. Objective: The main aim of this article is to present a review of the existing research in the literature, referring to the use of social robots for pe...
Research Proposal
El trastorno por déficit de atención con hiperactividad o TDAH es uno de los principales desórdenes psiquiátricos en niños de edad escolar. Se estima que entre el 5-15% de niños sufre de este trastorno. Actualmente, gracias a los avances tecnológicos existen herramientas que permiten reconocer gestos humanos como movimientos oculares, voz, etc. A t...
Article
Full-text available
The main objective of this paper is to present a review of existing researches in the literature, referring to Big Data sources and techniques in health sector and to identify which of these techniques are the most used in the prediction of chronic diseases. Academic databases and systems such as IEEE Xplore, Scopus, PubMed and Science Direct were...
Conference Paper
Full-text available
This paper describes the design and implementation of a spectrum analyzer on FPGA. Although all processing is performed within the Cyclone II EP2C35 FPGA of the Altera DE2 Development Board by modules described in VHDL and using Megacore functions, also a conditioning stage and digitizing the signal is developed. The spectrum obtained after perform...

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Projects

Projects (4)
Project
Design, develop and evaluation new data mining techniques to predict trends, diseases, ... in mental health.
Project
Apply techniques and algorithms of deep learning in ehealth, specially in medical images and data
Project
Analysis of medical data (data mining) Cost-utility of ehealth systems and apps