I. Mora-Jiménez
Orcid: 0000-0003-0735-367XAffiliations:
- Rey Juan Carlos University, Fuenlabrada, Spain
According to our database1,
I. Mora-Jiménez
authored at least 91 papers
between 2000 and 2024.
Collaborative distances:
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Bibliography
2024
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series.
CoRR, 2024
Naïve Bayes as a Probabilistic Tool for Monitoring the Health Status of Chronic Patients.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
Sequential Networks for Predicting the Clinical Risk of Chronic Patients Using Drug Dispensation.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
A streaming data visualization framework for supporting decision-making in the Intensive Care Unit.
Expert Syst. Appl., October, 2023
dtwParallel: A Python package to efficiently compute dynamic time warping between time series.
SoftwareX, May, 2023
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction.
Artif. Intell. Medicine, 2023
On the Use of Generative Adversarial Networks to Predict Health Status Among Chronic Patients.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
2022
Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance.
Future Gener. Comput. Syst., 2022
Learning and visualizing chronic latent representations using electronic health records.
BioData Min., 2022
Statistical Analysis of Color Differences on Iris Images for Supporting Cluster Headache Diagnosis.
Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications, 2022
Clinical Synthetic Data Generation to Predict and Identify Risk Factors for Cardiovascular Diseases.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2022
Local Naïve Bayes for Predicting Evolution of COVID-19 Patients on Self Organizing Maps.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Data-driven cardiovascular risk prediction and prognosis factor identification in diabetic patients.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital.
IEEE J. Biomed. Health Informatics, 2021
Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models.
Int. J. Interact. Multim. Artif. Intell., 2021
Interpreting clinical latent representations using autoencoders and probabilistic models.
Artif. Intell. Medicine, 2021
Predicting Multidrug Resistance Using Temporal Clinical Data and Machine Learning Methods.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Mapping Health Trajectories on Self Organizing Maps using COVID-19 Patient's Blood Tests.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
On the Statistical Differences in the Pharmacological Treatment of COVID-19 Patients.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
BMC Bioinform., March, 2020
Pattern Recognit., 2020
Use of a K-nearest neighbors model to predict the development of type 2 diabetes within 2 years in an obese, hypertensive population.
Medical Biol. Eng. Comput., 2020
Quantitative Cluster Headache Analysis for Neurological Diagnosis Support Using Statistical Classification.
Inf., 2020
Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps.
IEEE Access, 2020
Aplying LSTM Networks to Predict Multi-drug Resistance Using Binary Multivariate Clinical Sequences.
Proceedings of the 9th European Starting AI Researchers' Symposium 2020 co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020
Modelling Temporal Relationships in Pseudomonas Aeruginosa Antimicrobial Resistance Prediction in Intensive Care Unit.
Proceedings of the First International AAI4H, 2020
Temporal Feature Selection for Characterizing Antimicrobial Multidrug Resistance in the Intensive Care Unit.
Proceedings of the First International AAI4H, 2020
Finding Associations among Chronic Conditions by Bootstrap and Multiple Correspondence Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events.
Medical Biol. Eng. Comput., 2019
Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit.
Entropy, 2019
2018
Arrhythmia Mechanism and Scaling Effect on the Spectral Properties of Electroanatomical Maps With Manifold Harmonics.
IEEE Trans. Biomed. Eng., 2018
Scaled radial axes for interactive visual feature selection: A case study for analyzing chronic conditions.
Expert Syst. Appl., 2018
Data Amount Reduction in Mosaic Image Transmission Techniques for Digital Interactive Television Applications.
IEEE Access, 2018
A Data-Driven Model Based on Support Vector Machine to Identify Chronic Hypertensive and Diabetic Patients.
Proceedings of the Physiological Computing Systems, 2018
On the Use of Decision Trees Based on Diagnosis and Drug Codes for Analyzing Chronic Patients.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
On the Influence of Heart Rate and Coupling Interval Prematurity on Heart Rate Turbulence.
IEEE Trans. Biomed. Eng., 2017
An Improved Secure Image Transmission Technique via Mosaic Images by Nearly Reversible Color Transformations.
Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017), 2017
Clinical Risk Groups Analysis for Chronic Hypertensive Patients in Terms of ICD9-CM Diagnosis Codes.
Proceedings of the 4th International Conference on Physiological Computing Systems (PhyCS 2017), 2017
Modeling Cardiovascular Condition Evolution in Hypertensive Population Using Graph Signal Processing.
Proceedings of the Computing in Cardiology, 2017
L1 Penalized Cox Regression to Characterize Cardiovascular Events in Hypertensive Patients.
Proceedings of the Computing in Cardiology, 2017
2016
Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods.
J. Biomed. Informatics, 2016
Influence of Normalization on the Analysis of Electroanatomical Maps with Manifold Harmonics.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016
An Approach to New Methods for Digital Processing on Optical Mapping Sequences and Electrical Mapping.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Auto-Cropping of Phone Camera Color Images to Segment Cardiac Signals in ECG Printouts.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
IEEE Trans. Intell. Transp. Syst., 2015
Symmetrical Compression Distance for Arrhythmia Discrimination in Cloud-Based Big-Data Services.
IEEE J. Biomed. Health Informatics, 2015
Neurocomputing, 2015
Log-cumulant matching approximation of heavy-tailed-distributed aggregate interference.
Proceedings of the 2015 IEEE International Conference on Communications, 2015
Proceedings of the Computing in Cardiology, 2015
Proceedings of the Computing in Cardiology, 2015
Spectral Analysis of Electroanatomical Maps for Spatial Bandwidth Estimation as Support to Ablation.
Proceedings of the Computing in Cardiology, 2015
Big-Data Analytics for Arrhythmia Classification using Data Compression and Kernel Methods.
Proceedings of the Computing in Cardiology, 2015
Proceedings of the AMIA 2015, 2015
2014
Digit. Signal Process., 2014
Proceedings of the 11th International Symposium on Wireless Communications Systems, 2014
Towards Semantic Interoperability for Cardiovascular Risk Stratification into the Electronic Health Records Using Archetypes and SNOMED-CT.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2013
IEEE Trans. Biomed. Eng., 2013
Weaning outcome prediction from heterogeneous time series using Normalized Compression Distance and Multidimensional Scaling.
Expert Syst. Appl., 2013
Proceedings of the ISWCS 2013, 2013
Proceedings of the Computing in Cardiology, 2013
2012
On the differential benchmarking of promotional efficiency with machine learning modelling (II): Practical applications.
Expert Syst. Appl., 2012
On the differential benchmarking of promotional efficiency with machine learning modeling (I): Principles and statistical comparison.
Expert Syst. Appl., 2012
Proceedings of the 2012 International Symposium on Wireless Communication Systems (ISWCS), 2012
Deal Effect Curve and Promotional Models - Using Machine Learning and Bootstrap Resampling Test.
Proceedings of the ICPRAM 2012, 2012
Fundamental frequency estimation in atrial fibrillation signals using correntropy and Fourier Organization Analysis.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012
2011
IEEE Trans. Mob. Comput., 2011
Multivariate spatial clustering of traffic accidents for local profiling of risk factors.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011
Vehicular Sensor Networks in congested traffic: Linking STV field reconstruction and communications channel.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011
2010
IEEE Trans. Wirel. Commun., 2010
Heart Rate Variability on 7-Day Holter Monitoring Using a Bootstrap Rhythmometric Procedure.
IEEE Trans. Biomed. Eng., 2010
2009
Nonparametric Model Comparison and Uncertainty Evaluation for Signal Strength Indoor Location.
IEEE Trans. Mob. Comput., 2009
IEEE Trans. Biomed. Eng., 2009
Improving performance of neural classifiers via selective reduction of target levels.
Neurocomputing, 2009
2006
Proceedings of the 3rd IEEE International Symposium on Wireless Communication Systems, 2006
2005
IEEE Trans. Neural Networks, 2005
2003
Pattern Recognit., 2003
2002
A Trainable Classifier via k Nearest Neighbors.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002
2001
IEEE Trans. Intell. Transp. Syst., 2001
2000
Proceedings of the 2000 International Conference on Image Processing, 2000