Santiago de Leon-MartinezKempelen institute of Intelligent Technologies
Santiago de Leon-Martinez
Master of Science
MSCA Eyes4ICU PhD Student at Kempelen Institute of Intelligent Technologies and Brno University of Technology.
About
17
Publications
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Introduction
I am a Spanish American PhD student at KInIT in the MSCA Eyes4ICU doctoral network. I have a master’s degree in Health Information Engineering from the University Carlos III of Madrid, with previous research experience in physics, neurobiology, chemistry, and mathematics.
I have publications spanning the fields of mathematical number theory, psychiatry, and machine learning. My current research is focused on the evaluation of users and recommender systems through eye tracking analysis
Additional affiliations
Education
September 2021 - September 2022
August 2012 - May 2016
Publications
Publications (17)
Background
Functional limitations are associated with poor clinical outcomes, higher mortality, and disability rates, especially in older adults. Continuous assessment of patients’ functionality is important for clinical practice; however, traditional questionnaire-based assessment methods are very time-consuming and infrequently used. Mobile sensi...
Wearable devices and mobile sensors enable the real-time collection of an abundant source of physiological and behavioural data unobtrusively. Unlike traditional in-person evaluation or ecological momentary assessment (EMA) questionnaire-based approaches, these data sources open many possibilities in remote patient monitoring. However, defining rob...
Carousels (also-known as multilists) have become the standard user interface for e-commerce platforms replacing the ranked list, the previous standard for recommender systems. While the research community has begun to focus on carousels, there are many unanswered questions and undeveloped areas when compared to the literature for ranked lists, whic...
Eye tracking in recommender systems can provide an additional source of implicit feedback, while helping to evaluate other sources of feedback. In this study, we use eye tracking data to inform a collaborative filtering model for movie recommendation providing an improvement over the click-based implementations and additionally analyze the area of...
BACKGROUND
Functional limitations are associated with poor clinical outcomes, higher mortality, and disability rates, especially in older adults. Continuous assessment of patients’ functionality is important for clinical practice; however, traditional questionnaire-based assessment methods are very time-consuming and infrequently used. Mobile sensi...
(1) Background: The present study aimed to investigate the onset of mental disorders in the six months following hospitalization for COVID-19 in people without a previous psychiatric history. (2) Methods: This was a longitudinal study carried out among adults who had been hospitalized due to COVID-19 infection. Six months after discharge, a series...
Introduction
Impulsivity is present in a range of mental disorders and has been associated with suicide. Traditional measures of impulsivity have certain limitations, such as the lack of ecological validity. Virtual reality (VR) may overcome these issues. This study aims to validate the VR assessment tool ‘Spheres & Shield Maze Task’ and speech ana...
BACKGROUND
Functional limitations are associated with poor clinical outcomes, higher mortality, and disability rates, especially in the elderly. Continuous assessment of patients’ functionality is important for clinical practice; however, traditional questionnaire-based assessment methods are very time-consuming and infrequently used. Mobile sensin...
The main aim of the current study is to examine the demographic and clinical factors that predict a continuity of the use of Mental Health Services (MHS) in adulthood by subjects who have engaged in non-suicidal-self-injury behaviors (NSSI) and have been followed in MHS in their teen years. A cohort of 147 participants was selected from an original...
Introduction
Mental disorders represent the second cause of years lived with disability worldwide. Suicide mortality has been targeted as a key public health concern by the WHO. Smartphone technology provides a huge potential to develop massive and fast surveys. Given the vast cultural diversity of Mexico and its abrupt orography, smartphone-based...
Introduction
Electronic ecological momentary assessment (EMA) can provide precise information regarding day-to-day functioning of patients overcoming some of the limitations of usual clinical evaluation; however adherence to this methodology might be a major threat. Research and application of EMA concerning clinical settings remains scant. Our goa...
Background
: Smartphone-based ecological momentary assessment (EMA) is a promising methodology for mental health research. The objective of this study is to determine the feasibility of smartphone-based active and passive EMA in psychiatric outpatients and student controls.
Methods
: Two smartphone applications —MEmind and eB²— were developed for...
Background:
Suicide prevention is one of the greatest challenges in mental health policies. Since a previous suicide attempt is the main predictor of future suicidal behaviour, clinical management of suicide attempters is vital for lowering mortality. Psychopharmacological interventions are still nonspecific, and their effectiveness have often bee...
Ecological momentary assessment is an excellent tool for the measurement of different day-to-day domains in patients and capturing real-world and real-time data. The purpose of this review is to evaluate feasibility in current ecological momentary assessment studies on emotional and behavioral functioning, functional impairments, and quality of lif...