Browsing by Subject "Aprendizaje automático"
Now showing items 1-10 of 10
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Association between the use of daily injury risk estimation feedback (I-REF) based on machine learning techniques and injuries in athletics (track and field): results of a prospective cohort study over an athletics season
(BMJ Open Sport & Exercise Medicine, 2025)Objective: To analyse the association between the level of use of injury risk estimation feedback (I-REF) provided to athletes and the injury burden during an athletics season. Method: We conducted a ... -
Cognitive reserve, depressive symptoms, obesity, and change in employment status predict mental processing speed and executive function after COVID-19
(Springer Nature, 2024)The risk factors for post-COVID-19 cognitive impairment have been poorly described. This study aimed to identify the sociodemographic, clinical, and lifestyle characteristics that characterize a group ... -
Del optimismo a la confianza: el impacto de ChatGPT en la confianza de los estudiantes en el aprendizaje asistido por IA
(RIED: revista iberoamericana de educación a distancia, 2025)La inteligencia artificial generativa, como ChatGPT, está transformando el ámbito de la educación superior, especialmente en el apoyo a tareas académicas. Sin embargo, su adopción efectiva depende de ... -
Development and validation of a sample entropy-based method to identify complex patient-ventilator interactions during mechanical ventilation
(Scientific Reports, 2020)Patient-ventilator asynchronies can be detected by close monitoring of ventilator screens by clinicians or through automated algorithms. However, detecting complex patient-ventilator interactions (CP-VI), ... -
Identifying non-adult attention-deficit/hyperactivity disorder individuals using a stacked machine learning algorithm using administrative data population registers in a universal healthcare system
(JCPP Advances, 2023)Background: This research project aims to build a Machine Learning algorithm (ML) to predict first-time ADHD diagnosis, given that it is the most frequent mental disorder for the non-adult population. ... -
Kinematic analysis of human gait in healthy young adults using IMU sensors: exploring relevant machine learning features for clinical applications
(Bioengineering, 2024)Background: Gait is the manner or style of walking, involving motor control and coordination to adapt to the surrounding environment. Knowing the kinesthetic markers of normal gait is essential for the ... -
Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score
(British Journal of Surgery, 2021)Since the beginning of the COVID-19 pandemic tens of millions of operations have been cancelled1 as a result of excessive postoperative pulmonary complications (51.2 per cent) and mortality rates (23.8 ... -
Modelo de sistematización en los proyectos sociales de ApS (UIC)
(Historia y Comunicación Social, 2014-03)La metodología del aprendizaje-servicio (ApS) responde a las necesidades derivadas del contexto social y universitario actual y favorece la doble misión académica y social que debe cumplir la institución ... -
Predicting the onset of diabetes-related complications after a diabetes diagnosis with machine learning algorithms
(Diabetes Research and Clinical Practice, 2023)Aims: Using machine learning algorithms and administrative data, we aimed to predict the risk of being diagnosed with several diabetes-related complications after one-, two- and three-year post-diabetes ... -
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts
(European Journal of Cancer, 2021-10)Background: Multiple studies have compared the performance of artificial intelligence (AI)–based models for automated skin cancer classification to human experts, thus setting the cornerstone for a ...