المؤلفون: Martínez-Agüero, Sergio, Marques, Antonio G., Mora-Jiménez, Inmaculada, Alvárez-Rodríguez, Joaquín, Soguero-Ruiz, Cristina

مصطلحات موضوعية: Computer Science - Machine Learning, Quantitative Biology - Quantitative Methods

URL الوصول: http://arxiv.org/abs/2402.06295

المؤلفون: García-Vicente, Clara, Chushig-Muzo, David, Mora-Jimenez, Inmaculada, Fabelo, Himar, Gram, Inger Torhild, Løchen, Maja-Lisa, Granja, Conceição, Soguero-Ruiz, Cristina

Relation: Lecture Notes in Computer Science (LNCS); García-Vicente, Chushig-Muzo, Mora-Jimenez, Fabelo, Gram, Løchen, Granja, Soguero-Ruiz. Clinical Synthetic Data Generation to Predict and Identify Risk Factors for Cardiovascular Diseases. Lecture Notes in Computer Science (LNCS). 2023;13814; FRIDAID 2226604; https://hdl.handle.net/10037/33275

الاتاحة: https://hdl.handle.net/10037/33275
https://doi.org/10.1007/978-3-031-23905-2_6

المؤلفون: García-Vicente, Clara, Chushig-Muzo, David, Mora-Jiménez, Inmaculada, Fabelo, Himar, Gram, Inger Torhild, Løchen, Maja-Lisa, Granja, Conceição, Soguero-Ruiz, Cristina

Relation: Applied Sciences; García-Vicente, Chushig-Muzo, Mora-Jiménez, Fabelo, Gram, Løchen, Granja, Soguero-Ruiz. Evaluation of Synthetic Categorical Data Generation Techniques for Predicting Cardiovascular Diseases and Post-Hoc Interpretability of the Risk Factors. Applied Sciences. 2023;13(7); FRIDAID 2145735; https://hdl.handle.net/10037/30624

الاتاحة: https://hdl.handle.net/10037/30624
https://doi.org/10.3390/app13074119

المؤلفون: Escudero-Arnanz, Óscar, G. Marques, Antonio, Soguero-Ruiz, Cristina, Mora-Jiménez, Inmaculada, Robles, Gregorio

مصطلحات موضوعية: DTW, Multivariate Time Series, Kernel-based similarity, Parallelization, Python

Relation: Óscar Escudero-Arnanz, Antonio G. Marques, Cristina Soguero-Ruiz, Inmaculada Mora-Jiménez, Gregorio Robles, dtwParallel: A Python package to efficiently compute dynamic time warping between time series, SoftwareX, Volume 22, 2023, 101364, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2023.101364; https://hdl.handle.net/10115/24752

الاتاحة: https://hdl.handle.net/10115/24752
https://doi.org/10.1016/j.softx.2023.101364

المؤلفون: Hernández Carnerero, Alvar, Sànchez-Marrè, Miquel, Mora Jiménez, Inmaculada, Soguero Ruiz, Cristina, Martínez Agüero, Sergio, Álvarez Rodríguez, Joaquín

المساهمون: Universitat Politècnica de Catalunya. Doctorat en Intel·ligència Artificial, Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Universitat Politècnica de Catalunya. IDEAI-UPC - Intelligent Data sciEnce and Artificial Intelligence Research Group

مصطلحات موضوعية: Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial, Neural networks (Computer science), Intensive care units, Drug resistance in microorganisms, Data-driven dimensionality reduction, LSTM-based prediction, Multivariate time series, Antimicrobial resistance forecast, Pseudomonas aeruginosa, Xarxes neuronals (Informàtica), Unitats de cures intensives, Microorganismes -- Resistència als medicaments

وصف الملف: 17 p.; application/pdf

Relation: https://www.sciencedirect.com/science/article/pii/S0933365723000222; Hernàndez-Carnerero, À. [et al.]. Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction. "Artificial intelligence in medicine", Abril 2023, vol. 138, article 102508, p. 1-17.; http://hdl.handle.net/2117/383488

الاتاحة: http://hdl.handle.net/2117/383488
https://doi.org/10.1016/j.artmed.2023.102508

المؤلفون: Mohedano-Munoz, Miguel A., Soguero-Ruiz, Cristina, Mora-Jiménez, Inmaculada, Rubio-Sánchez, Manuel, Álvarez-Rodríguez, Joaquín, Sanchez, Alberto

المصدر: Expert Systems with Applications ; volume 227, page 120252 ; ISSN 0957-4174

الاتاحة: http://dx.doi.org/10.1016/j.eswa.2023.120252
https://api.elsevier.com/content/article/PII:S0957417423007546?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0957417423007546?httpAccept=text/plain

المؤلفون: Buckley, Brian, O'Hagan, Adrian, Galligan, Marie, Hernandez, Belinda, Mora-Jimenez, Inmaculada

المصدر: Frontiers in Applied Mathematics & Statistics; 2024, p1-14, 14p

مصطلحات موضوعية: MARKOV chain Monte Carlo, ELECTRONIC health records, PEOPLE with diabetes, BAYESIAN field theory, RARE diseases

المؤلفون: Pastor, Giancarlo, Mora-Jiménez, Inmaculada, Jäntti, Riku, Caamaño, Antonio J.

مصطلحات موضوعية: Computer Science - Information Theory, 94A15

URL الوصول: http://arxiv.org/abs/1501.05126

المؤلفون: Escudero-Arnanz, Óscar, Sicilia, Rosa, Soguero-Ruiz, Cristina, Mora-Jiménez, Inmaculada, Lelli, Diana, Pedone, Claudio, Marques, Antonio G.

المصدر: 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS)

الاتاحة: http://dx.doi.org/10.1109/cbms61543.2024.00027
http://xplorestaging.ieee.org/ielx8/10600689/10600715/10600843.pdf?arnumber=10600843

المؤلفون: Chushig-Muzo, David, Soguero-Ruiz, Cristina, Miguel Bohoyo, Pablo, Mora-Jiménez, Inmaculada

مصطلحات موضوعية: Denoising Autoencoder, Chronic diseases, Diabetes, Hypertension, Clustering, Patient representation, Synthetic patient, Health status trajectory

Relation: Chushig-Muzo, D., Soguero-Ruiz, C., Miguel Bohoyo, P.d. et al. Learning and visualizing chronic latent representations using electronic health records. BioData Mining 15, 18 (2022). https://doi.org/10.1186/s13040-022-00303-z; https://hdl.handle.net/10115/28495

الاتاحة: https://hdl.handle.net/10115/28495
https://doi.org/10.1186/s13040-022-00303-z

المؤلفون: Martínez-Agüero, Sergio, Soguero-Ruiz, Cristina, Alonso-Moral, Jose M., Mora-Jiménez, Inmaculada, Álvarez-Rodríguez, Joaquín, Marques, Antonio G.

مصطلحات موضوعية: Explainable artificial intelligence, Multivariate Time, Recurrent neural network, Linguistic fuzzy models, Antimicrobial multidrug resistance, Intensive Care Unit

Relation: Sergio Martínez-Agüero, Cristina Soguero-Ruiz, Jose M. Alonso-Moral, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Antonio G. Marques, Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance, Future Generation Computer Systems, Volume 133, 2022, Pages 68-83, ISSN 0167-739X, https://doi.org/10.1016/j.future.2022.02.021; https://hdl.handle.net/10115/24412

الاتاحة: https://hdl.handle.net/10115/24412
https://doi.org/10.1016/j.future.2022.02.021

المؤلفون: Pastor Figueroa, Giancarlo, Mora-Jiménez, Inmaculada, Jäntti, Riku, Caamaño, Antonio J.

المساهمون: Department of Communications and Networking, Universidad Rey Juan Carlos, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: axioms, complexity, concentration, diversity, effective, entropy, fairness, generalized convexity, inequality, information, sparsity, uncertainty

وصف الملف: application/pdf

Relation: IEEE Transactions on Knowledge and Data Engineering; Pastor Figueroa , G , Mora-Jiménez , I , Jäntti , R & Caamaño , A J 2022 , ' Constructing measures of sparsity ' , IEEE Transactions on Knowledge and Data Engineering , vol. 34 , no. 8 , pp. 3643 - 3654 . https://doi.org/10.1109/TKDE.2020.3029851; PURE UUID: fa9cbcce-e7fb-48c5-b116-fab50c5defa1; PURE ITEMURL: https://research.aalto.fi/en/publications/fa9cbcce-e7fb-48c5-b116-fab50c5defa1; PURE FILEURL: https://research.aalto.fi/files/53665438/Pastor_Constructing_measures_of_sparsity.pdf; https://aaltodoc.aalto.fi/handle/123456789/101681; URN:NBN:fi:aalto-2020123160502

الاتاحة: https://aaltodoc.aalto.fi/handle/123456789/101681
https://doi.org/10.1109/TKDE.2020.3029851

المؤلفون: Hernández Carnerero, Alvar, Sànchez-Marrè, Miquel, Mora Jiménez, Inmaculada, Soguero Ruiz, Cristina, Martínez Agüero, Sergio, Álvarez Rodríguez, Joaquín

المساهمون: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic

مصطلحات موضوعية: Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial, Data mining, Intensive care units, Temporal modelling, Classification problem, Clinical data, Antibiogram, Antimicrobial resistance, Health care, Mineria de dades, Unitats de cures intensives

وصف الملف: 8 p.; application/pdf

Relation: http://ceur-ws.org/Vol-2820/AAI4H-12.pdf; info:eu-repo/grantAgreement/AGAUR/RIS3CAT/2017 SGR 574; Hernàndez-Carnerero, À. [et al.]. Modelling temporal relationships in pseudomonas aeruginosa antimicrobial resistance prediction in intensive care unit. A: ECAI Workshop on Singular Problems for Healthcare Workshop. "Proceedings of the First International AAI4H, Advances in Artificial Intelligence for Healthcare Workshop: co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020): Santiago de Compostela, Spain, September 4, 2020". CEUR-WS.org, 2020, p. 60-67. ISBN 1613-0073.; http://hdl.handle.net/2117/341141

الاتاحة: http://hdl.handle.net/2117/341141

المؤلفون: Alonso-Betanzos, Amparo, Cabalar, Pedro, Dimuro, Gracaliz P., García, Marcos, Hernández-Orallo, José, Hervás, Raquel, Manjarés, Ángeles, Martínez-Plumed, Fernado, Mora-Jiménez, Inmaculada, Sànchez-Marrè, Miquel

مصطلحات موضوعية: editors note, IJIMAI

Relation: vol. 6, nº 5; https://www.ijimai.org/journal/bibcite/reference/2914; https://reunir.unir.net/handle/123456789/12920; https://doi.org/10.9781/ijimai.2021.02.014

الاتاحة: https://reunir.unir.net/handle/123456789/12920
https://doi.org/10.9781/ijimai.2021.02.014

المؤلفون: Hernàndez-Carnerero, Àlvar, Sànchez-Marrè, Miquel, Mora-Jiménez, Inmaculada, Soguero-Ruiz, Cristina, Martínez-Agüero, Sergio, Álvarez-Rodríguez, Joaquín

مصطلحات موضوعية: antimicrobial resistance, intensive care unit, prediction, pseudomonas aeruginosa, temporal data-driven modeling, IJIMAI

Relation: vol. 6, nº 5; https://www.ijimai.org/journal/bibcite/reference/2908; https://reunir.unir.net/handle/123456789/12918; https://doi.org/10.9781/ijimai.2021.02.012

الاتاحة: https://reunir.unir.net/handle/123456789/12918
https://doi.org/10.9781/ijimai.2021.02.012

المؤلفون: Chushig-Muzo, David, Soguero-Ruiz, Cristina, de Miguel-Bohoyo, Pablo, Mora-Jiménez, Inmaculada

المصدر: Artificial Intelligence in Medicine ; volume 122, page 102211 ; ISSN 0933-3657

الاتاحة: http://dx.doi.org/10.1016/j.artmed.2021.102211
https://api.elsevier.com/content/article/PII:S0933365721002049?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0933365721002049?httpAccept=text/plain

المؤلفون: Soguero-Ruiz, Cristina, Mora-Jiménez, Inmaculada, Mohedano-Munoz, Miguel Ángel, Rubio-Sánchez, Manuel, de Miguel-Bohoyo, Pablo, Sanchez, Alberto

مصطلحات موضوعية: Chronic health status, Diabetes, Hypertension, Multivariate visualization, Classification trees, Diagnoses, Drugs

Relation: Soguero-Ruíz, C., Mora-Jiménez, I., Mohedano-Munoz, M. A., Rubio-Sánchez, M., De Miguel Bohoyo, P., & Sánchez, A. (2020). Visually guided classification trees for analyzing chronic patients. BMC Bioinformatics, 21(S2).; https://hdl.handle.net/10115/28486

الاتاحة: https://hdl.handle.net/10115/28486
https://doi.org/10.1186/s12859-020-3359-3

المؤلفون: Chushig-Muzo, David, Soguero-Ruiz, Cristina, Engelbrecht, A. P., De Miguel Bohoyo, Pablo, Mora-Jimenez, Inmaculada

المساهمون: AESOP Plus Program, Ministerio de Ciencia e Innovacin

المصدر: IEEE Access ; volume 8, page 137019-137031 ; ISSN 2169-3536

الاتاحة: http://dx.doi.org/10.1109/access.2020.3012082
http://xplorestaging.ieee.org/ielx7/6287639/8948470/09148604.pdf?arnumber=9148604

المؤلفون: Calero-Diaz, Hugo, Chushig-Muzo, David, Fabelo Gómez, Himar Antonio, Mora Jimenez, Inmaculada, Granja, Conceicao, Soguero-Ruiz, Cristina

المساهمون: NO DATA, 57988318000, 57218569405, 56405568500, 56039860600, 36086375600, 55207356700, BU-MED

المصدر: 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics and IEEE-EMBS [EISSN 2641-3604 ], (27-30 septiembre 2022)

مصطلحات موضوعية: 32 Ciencias médicas, 3205 Medicina interna, Cardiovascular Diseases, Feature Selection, Interpretability, Machine Learning, Risk Factors, Type 1 Diabetes

Relation: IEEE; 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2022; Scopus; http://hdl.handle.net/10553/119646; 85143078304; events149962; Sí

الاتاحة: http://hdl.handle.net/10553/119646
https://doi.org/10.1109/BHI56158.2022.9926871

المؤلفون: Sanroman-Junquera, Margarita, Mora-Jimenez, Inmaculada, Garcia-Alberola, Arcadio, Caamano, Antonio J., Trénor Gomis, Beatriz Ana, Rojo-Alvarez, Jose L.

المساهمون: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, Ministerio de Economía y Competitividad

مصطلحات موضوعية: Bandwidth, Cardiac navigation system, Electrocardiographic imaging, Electrophysiological study, Spatial sampling rate, Spectral analysis, TECNOLOGIA ELECTRONICA

Relation: IEEE Transactions on Biomedical Engineering (Online); info:eu-repo/grantAgreement/MINECO//TEC2013-48439-C4-1-R/ES/PROCESADO DIGITAL NO LINEAL Y APRENDIZAJE ESTADISTICO CON NUCLEOS AUTOCORRELACION PARA APLICACIONES EN SALUD/; info:eu-repo/grantAgreement/MINECO//TEC2016-75361-R/ES/EXTRACCION DE CONOCIMIENTO PARA PREDICCION DE LA EVOLUCION CLINICA USANDO ANALISIS DE DATOS/; info:eu-repo/grantAgreement/MINECO//TEC2016-75161-C2-1-R/ES/INVESTIGACION TRASLACIONAL Y TRANSFERENCIA DE UN NUEVO SISTEMA DE ELECTROFISIOLOGIA CARDIACA NO INAVASIVA DE ALTA RESOLUCION/; https://doi.org/10.1109/TBME.2017.2716189; http://hdl.handle.net/10251/103142; urn:eissn:1558-2531

الاتاحة: http://hdl.handle.net/10251/103142
https://doi.org/10.1109/TBME.2017.2716189