Andrés Orozco‐Duque
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View article: Explainable Machine Learning Models for Credit Rating in Colombian Solidarity Sector Entities
Explainable Machine Learning Models for Credit Rating in Colombian Solidarity Sector Entities Open
This paper proposes a methodology for implementing a custom-developed explainability model for credit rating using behavioral data registered during the lifecycle of the borrowing that can replicate the score given by the regulatory model …
View article: Explainable Machine Learning Models for Credit Rating in Colombian Solidarity Sector Entities
Explainable Machine Learning Models for Credit Rating in Colombian Solidarity Sector Entities Open
This study presents a novel alternative to the standardized credit risk assessment model currently mandated by Colombia's Superintendence of the Solidarity Economy (SES). Addressing critical limitations of the regulatory model, particularl…
View article: Towards Early Maternal Morbidity Risk Identification by Concept Extraction from Clinical Notes in Spanish Using Fine-Tuned Transformer-Based Models
Towards Early Maternal Morbidity Risk Identification by Concept Extraction from Clinical Notes in Spanish Using Fine-Tuned Transformer-Based Models Open
Early detection of morbidities that complicate pregnancy improves health outcomes in low- and middle-income countries. Automatic revision of electronic health records (EHRs) can help identify such morbidity risks. There is a lack of corpor…
View article: Modelo de integración entre variables clínicas y bioseñales de deglución computacional en disfagia orofaríngea neurogénica
Modelo de integración entre variables clínicas y bioseñales de deglución computacional en disfagia orofaríngea neurogénica Open
En la disfagia orofaríngea neurogénica (DON) existen variables clínicas y bioseñales potencialmente identificables durante su evaluación, tamizaje y caracterización diagnóstica. Este estudio desarrolló un modelo para diferenciar personas s…
View article: A Review on Data-Driven Model-Free Sliding Mode Control
A Review on Data-Driven Model-Free Sliding Mode Control Open
Sliding mode control (SMC) has been widely used to control linear and nonlinear dynamics systems because of its robustness against parametric uncertainties and matched disturbances. Although SMC design has traditionally addressed process m…
View article: Named Entity Recognition in Electronic Health Records: A Methodological Review
Named Entity Recognition in Electronic Health Records: A Methodological Review Open
Objectives: A substantial portion of the data contained in Electronic Health Records (EHR) is unstructured, often appearing as free text. This format restricts its potential utility in clinical decision-making. Named entity recognition (NE…
View article: Classification of Severe Maternal Morbidity from Electronic Health Records Written in Spanish Using Natural Language Processing
Classification of Severe Maternal Morbidity from Electronic Health Records Written in Spanish Using Natural Language Processing Open
One stepping stone for reducing the maternal mortality is to identify severe maternal morbidity (SMM) using Electronic Health Records (EHRs). We aim to develop a pipeline to represent and classify the unstructured text of maternal progress…
View article: Evolución del procesamiento natural del lenguaje
Evolución del procesamiento natural del lenguaje Open
El lenguaje escrito no ha sido ajeno a los cambios culturales y tecnológicos. Por ejemplo, la invención de la imprenta en el siglo XV, o el desarrollo de los computadores personales y los teléfonos inteligentes en las últimas décadas, fuer…
View article: Sincronización entre la videodeglución y la electromiografía de superficie en pacientes con afectación neurológica y síntomas de disfagia
Sincronización entre la videodeglución y la electromiografía de superficie en pacientes con afectación neurológica y síntomas de disfagia Open
Introducción. La disfagia se define como la dificultad para movilizar la comida desde la boca hasta el estómago. La prueba diagnóstica para esta condición es la videofluoroscopia, la cual no es totalmente inocua pues utiliza radiación ioni…
View article: Geometry Regularized Autoencoders
Geometry Regularized Autoencoders Open
A fundamental task in data exploration is to extract low dimensional representations that capture intrinsic geometry in data, especially for faithfully visualizing data in two or three dimensions. Common approaches use kernel methods for m…
View article: Manifold Alignment with Label Information
Manifold Alignment with Label Information Open
Multi-domain data is becoming increasingly common and presents both challenges and opportunities in the data science community. The integration of distinct data-views can be used for exploratory data analysis, and benefit downstream analys…
View article: Directed Functional Coordination Analysis of Swallowing Muscles in Healthy and Dysphagic Subjects by Surface Electromyography
Directed Functional Coordination Analysis of Swallowing Muscles in Healthy and Dysphagic Subjects by Surface Electromyography Open
Swallowing is a complex sequence of highly regulated and coordinated skeletal and smooth muscle activity. Previous studies have attempted to determine the temporal relationship between the muscles to establish the activation sequence patte…
View article: Extendable and invertible manifold learning with geometry regularized autoencoders
Extendable and invertible manifold learning with geometry regularized autoencoders Open
A fundamental task in data exploration is to extract simplified low\ndimensional representations that capture intrinsic geometry in data, especially\nfor faithfully visualizing data in two or three dimensions. Common approaches\nto this ta…
View article: Evaluation of Swallowing Related Muscle Activity by Means of Concentric Ring Electrodes
Evaluation of Swallowing Related Muscle Activity by Means of Concentric Ring Electrodes Open
Surface electromyography (sEMG) can be helpful for evaluating swallowing related muscle activity. Conventional recordings with disc electrodes suffer from significant crosstalk from adjacent muscles and electrode-to-muscle fiber orientatio…
View article: Visualizing High Dimensional Dynamical Processes
Visualizing High Dimensional Dynamical Processes Open
Manifold learning techniques for dynamical systems and time series have shown\ntheir utility for a broad spectrum of applications in recent years. While these\nmethods are effective at learning a low-dimensional representation, they are\no…
View article: Proceso de fundición en espuma perdida para la fabricación de autopartes
Proceso de fundición en espuma perdida para la fabricación de autopartes Open
El proceso de fundición a la espuma perdida (FEP), es uno de los procesos de fundición preferidos en la actualidad cuando se trata de fabricar piezas de geometría intrincada, estrechas tolerancias dimensionales y buenos acabados superficia…
View article: Techniques of Acquisition and Processing of Electrocardiographic Signals in the Detection of Cardiac Arrhythmias
Techniques of Acquisition and Processing of Electrocardiographic Signals in the Detection of Cardiac Arrhythmias Open
The development of ambulatory monitoring systems and its electrocardiographic (ECG) signal processing techniques has become an important field of investigation, due to its relevance in the early detection of cardiovascular diseases such as…
View article: Muenke Syndrome: Variable Expressivity between Family Members
Muenke Syndrome: Variable Expressivity between Family Members Open
Muenke syndrome (MS) is the most common syndromic form of craniosynostosis with an incidence of 1 in 30,000 births, it corresponds to 8 percent of all craniosynostosis.1, 2 We report a data of a 5-year-old male patient with syndromic crani…
View article: Entropy Mapping Approach for Functional Reentry Detection in Atrial Fibrillation: An In-Silico Study
Entropy Mapping Approach for Functional Reentry Detection in Atrial Fibrillation: An In-Silico Study Open
Catheter ablation of critical electrical propagation sites is a promising tool for reducing the recurrence of atrial fibrillation (AF). The spatial identification of the arrhythmogenic mechanisms sustaining AF requires the evaluation of el…
View article: Ablación cardiaca auricular: estrategias guiadas por el mapeo de electrogramas
Ablación cardiaca auricular: estrategias guiadas por el mapeo de electrogramas Open
La ablación por radiofrecuencia se ha constituido como la técnica más utilizada para el tratamiento intervencionista de la fibrilación auricular. El aislamiento eléctrico de venas pulmonares se ha convertido en el procedimiento convenciona…
View article: Complexity of Atrial Fibrillation Electrograms Through Nonlinear Signal Analysis: In Silico Approach
Complexity of Atrial Fibrillation Electrograms Through Nonlinear Signal Analysis: In Silico Approach Open
Identification of atrial fibrillation (AF) mechanisms could improve the rate of ablation success. However, the incomplete understanding of those mechanisms makes difficult the decision of targeting sites for ablation. This work is focused …
View article: Lead and Carbon Monoxide Effects on Human Atrial Action Potential. In Silico Study
Lead and Carbon Monoxide Effects on Human Atrial Action Potential. In Silico Study Open
Exposure to air pollutants like lead (Pb ++ ) and carbon monoxide (CO), promotes the occurrence of cardiovascular diseases.Experimental studies have shown that Pb ++ and CO block the L-type calcium channels, decreasing the calcium current …
View article: Advances in biomedical engineering: a call for enhancing empirical research
Advances in biomedical engineering: a call for enhancing empirical research Open
Advances in biomedical engineering (BME) imply the existence of research groups working in multidisciplinary teams to understand physiological processes and develop methods and tools for diagnostics and therapeutics. Multidisciplinary team…
View article: Feature extraction based on time-singularity multifractal spectrum distribution in intracardiac atrial fibrillation signals
Feature extraction based on time-singularity multifractal spectrum distribution in intracardiac atrial fibrillation signals Open
Non-linear analysis of electrograms (EGM) has been proposed as a tool to detect critical conduction sites (e.g., rotors vortex, multiple wavefronts) in atrial fibrillation (AF). Likewise, studies have shown that multifractal analysis is us…
View article: Generation of fibrillatory dynamics in cardiac tissue: fractional diffusion as arrhythmogenic mechanism modelling tool
Generation of fibrillatory dynamics in cardiac tissue: fractional diffusion as arrhythmogenic mechanism modelling tool Open
View article: Semi-supervised clustering of fractionated electrograms for electroanatomical atrial mapping
Semi-supervised clustering of fractionated electrograms for electroanatomical atrial mapping Open
View article: Effect of the electrograms density in detecting and ablating the tip of the rotor during chronic atrial fibrillation: an<i>in silico</i>study
Effect of the electrograms density in detecting and ablating the tip of the rotor during chronic atrial fibrillation: an<i>in silico</i>study Open
A previous work has shown that DApEn maps successfully detected simulated rotor tips using a high spatial resolution. In this work, it was evinced that DApEn maps could be applied using a spatial resolution similar to that available in com…