Documentos de Soguero-Ruiz C. | REDI

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Filtros aplicados

Objetivos de Desarrollo Sostenible: "ODS 17: Alianzas para lograr los objetivos"

Subtipo de publicación

Conference Object(5)

Publisher

Computing in Cardiology(3)

2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014(1)

IEEE Journal of Biomedical and Health Informatics(1)

IEEE Transactions on Biomedical Engineering(1)

Área temáticas

Medicina y salud(7)

Enfermedades(4)

Funcionamiento de bibliotecas y archivos(4)

Ciencias de la computación(3)

Métodos informáticos especiales(3)

Área de conocimiento

Ciencias de la computación(5)

Aprendizaje automático(4)

Análisis de datos(2)

Enfermedad cardiovascular(2)

Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura(11)

ODS 3: Salud y bienestar(9)

ODS 8: Trabajo decente y crecimiento económico(3)

ODS 10: Reducción de las desigualdades(1)

ODS 16: Paz, justicia e instituciones sólidas(1)

Año de Publicación

Origen

Palabras Claves

feature selection(3)

Electronic health records(2)

sentiment analysis(2)

Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage

Conference Object

Abstract: We propose a Bootstrap resampling approach for Feature Selection (FS) using the weights obtained by

Palabras claves:

Augestad K.M., Godtliebsen F., Hindberg K., Jenssen R., Jose Luis Rojo-Álvarez, Lindsetmo R.O., Mora-Jimnez I., Mortensen K., Revhaug A., Skrøvseth S., Soguero-Ruiz C.

An interoperable system toward cardiac risk stratification from ECG monitoring

Abstract: Many indices have been proposed for cardiovascular risk stratification from electrocardiogram signal

Palabras claves:

ARCHETYPES, Cardiovascular risk stratification, Electronic health records, Heart rate turbulence, Heart Rate Variability, Semantic Interoperability, web system

Díez-Mazuela D., Fernández T.Q., GarcÍa-Alberola A., García-García A., Jose Luis Rojo-Álvarez, Mora-Jimnez I., Ramos-López J., Soguero-Ruiz C.

ELab: A web-based platform to perform HRV and HRT analysis and store cardiac signals

Conference Object

Abstract: This study aimed to develop a user-friendly, modular and scalable web-based system, that would allow

Palabras claves:

Barquero-Perez O., Bravo R., Cabanas M., De La Rosa M., GarcÍa-Alberola A., Garia-Munoz J., Gonzalez I., Jose Luis Rojo-Álvarez, Quintanilla T., Soguero-Ruiz C., Wilby M.R.

Finding Associations among Chronic Conditions by Bootstrap and Multiple Correspondence Analysis

Conference Object

Abstract: Contemporary societies are suffering from negative population growth, with the consequent population

Palabras claves:

bootstrap resampling, Chronic conditions, CORRESPONDENCE ANALYSIS, feature selection

Alonso-Arteaga N., Jose Luis Rojo-Álvarez, Lopez-Fajardo I.C., Mora-Jimnez I., Muoz-Romero S., Rubio-Sánchez M., Soguero-Ruiz C.

Informative variable identifier: Expanding interpretability in feature selection

Abstract: There is nowadays an increasing interest in discovering relationships among input variables (also ca

Palabras claves:

classification, Explainable machine learning, feature selection, interpretability, Resampling

Gorostiaga A., Jose Luis Rojo-Álvarez, Mora-Jimnez I., Muoz-Romero S., Soguero-Ruiz C.

Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods

Abstract: Objective: In this work, we have developed a learning system capable of exploiting information conve

Palabras claves:

clinical decision support, Colorectal cancer, Electronic health records, feature selection, Heterogeneous clinical data, kernel methods

Augestad K.M., Godtliebsen F., Hindberg K., Jenssen R., Jose Luis Rojo-Álvarez, Lindsetmo R.O., Mora-Jimnez I., Mortensen K., Revhaug A., Skrøvseth S., Soguero-Ruiz C.

On the Statistical and Temporal Dynamics of Sentiment Analysis

Abstract: Despite the broad interest and use of sentiment analysis nowadays, most of the conclusions in curren

Palabras claves:

autocorrelation, entropy, Machine learning techniques, public opinions, sentiment analysis, sentiment dictionaries, sentiment score, Social networking, Twitter

Cuenca-Jimenez P.M., Gimeno-Blanes F.J., Jose Luis Rojo-Álvarez, Muoz-Romero S., Rodríguez-Ibáñez M., Soguero-Ruiz C.

Ontology for heart rate turbulence domain from the conceptual model of SNOMED-CT

Abstract: Electronic health record (EHR) automates the clinician workflow, allowing evidence-based decision su

Palabras claves:

Cardiovascular Risk, Conceptual model, electrocardiogram (ECG), electronic health recording(EHR), Heart rate turbulence (HRT), ontology, SNOMED-CT

Barquero-Perez O., GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Lechuga-Suarez L., Mora-Jimnez I., Ramos-Lpez J., Soguero-Ruiz C.

Sentiment Analysis of Political Tweets from the 2019 Spanish Elections

Abstract: The use of sentiment analysis methods has increased in recent years across a wide range of disciplin

Palabras claves:

autoenconders, collected tweets, election candidates, election results, lexicon, manifold embedding, Politics, sentiment analysis, social networking sites, text analysis, Twitter

Cuenca-Jimenez P.M., Gimeno-Blanes F.J., Jose Luis Rojo-Álvarez, Rodríguez-Ibáñez M., Soguero-Ruiz C.

Support Vector Feature Selection for Early Detection of Anastomosis Leakage from Bag-of-Words in Electronic Health Records

Abstract: The free text in electronic health records (EHRs) conveys a huge amount of clinical information abou

Palabras claves:

Anastomosis leakage (AL), bag-of-words (BoWs), colorectal cancer (CRC), Early Detection, electronic health record (EHR), feature selection (FS), kernel entropy, support vector machine (SVM)

Augestad K.M., Godtliebsen F., Hindberg K., Jenssen R., Jose Luis Rojo-Álvarez, Lindsetmo R.O., Mortensen K., Revhaug A., Skrøvseth S., Soguero-Ruiz C.