JOSÉ LUIS
AYALA RODRIGO
Catedrático de universidad
Publications (158) JOSÉ LUIS AYALA RODRIGO publications
2024
-
A data-driven approach to complement the A/T/(N) classification system using CSF biomarkers
CNS Neuroscience and Therapeutics, Vol. 30, Núm. 2
-
Correction to: Genetic-based patient stratification in Alzheimer’s disease (Scientific Reports, (2024), 14, 1, (9970), 10.1038/s41598-024-60707-1)
Scientific Reports
-
Deep Learning For Predicting Cerebral Metabolism Changes Along The Alzheimer’s Disease Continuum
Proceedings IMCIC - International Multi-Conference on Complexity, Informatics and Cybernetics
-
Genetic-based patient stratification in Alzheimer’s disease
Scientific Reports, Vol. 14, Núm. 1
-
Monitoring differences in the function of the autonomic nervous system in patients with chronic insomnia using a wearable device
Sleep Medicine, Vol. 115, pp. 122-130
-
Predicting changes in brain metabolism and progression from mild cognitive impairment to dementia using multitask Deep Learning models and explainable AI
NeuroImage, Vol. 297
2023
-
Development of criteria for cognitive dysfunction in post-COVID syndrome: the IC-CoDi-COVID approach
Psychiatry Research, Vol. 319
-
HackRF + GNU Radio: A software-defined radio to teach communication theory
International Journal of Electrical Engineering and Education, Vol. 60, Núm. 1, pp. 23-40
-
II Jornada «Aprendizaje Eficaz con TIC en la UCM»
coord.
Ediciones Complutense
-
Unraveling brain fog in post-COVID syndrome: Relationship between subjective cognitive complaints and cognitive function, fatigue, and neuropsychiatric symptoms
European Journal of Neurology
2022
-
Body Complexion and Circulating Lipids in the Risk of TDP-43 Related Disorders
Frontiers in Aging Neuroscience, Vol. 14
-
Cluster-Then-Classify Methodology for the Identification of Pain Episodes in Chronic Diseases
IEEE journal of biomedical and health informatics, Vol. 26, Núm. 5, pp. 2339-2350
-
Diagnosis of Alzheimer's disease and behavioural variant frontotemporal dementia with machine learning-aided neuropsychological assessment using feature engineering and genetic algorithms
International Journal of Geriatric Psychiatry, Vol. 37, Núm. 2
-
Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarios
Journal of Simulation, Vol. 16, Núm. 6, pp. 589-603
-
Energy-aware task scheduling in data centers using an application signature
Computers and Electrical Engineering, Vol. 97
-
GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer’s disease and frontotemporal dementia using genetic algorithms
Medical and Biological Engineering and Computing, Vol. 60, Núm. 9, pp. 2737-2756
-
Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging
Frontiers in Aging Neuroscience, Vol. 13
-
Neuropsychological Predictors of Fatigue in Post-COVID Syndrome
Journal of Clinical Medicine, Vol. 11, Núm. 13
-
On the limits of graph neural networks for the early diagnosis of Alzheimer’s disease
Scientific Reports, Vol. 12, Núm. 1
-
Prediction of Delivery Within 7 Days After Diagnosis of Early Onset Preeclampsia Using Machine-Learning Models
Frontiers in Cardiovascular Medicine, Vol. 9