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Expert Systems with Applications(2)
2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014(1)
Applied Sciences (Switzerland)(1)
ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods(1)
IEEE Journal of Biomedical and Health Informatics(1)
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Ciencias de la computación(4)
Medicina y salud(4)
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scopus(9)
Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage
Conference ObjectAbstract: We propose a Bootstrap resampling approach for Feature Selection (FS) using the weights obtained byPalabras claves:Autores: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.Fuentes:scopusDeal effect curve and promotional models: Using machine learning and bootstrap resampling test
Conference ObjectAbstract: Promotional sales have become in recent years a paramount issue in the marketing strategies of manyPalabras claves:bootstrap resampling, Deal effect curve, MARKETING, Multilayer Perceptron, Promotional modelsAutores:Gimeno-Blanes F.J., Jose Luis Rojo-Álvarez, Martínez-Ruiz M.P., Mora-Jimnez I., Soguero-Ruiz C.Fuentes:scopusOn the differential benchmarking of promotional efficiency with machine learning modeling (I): Principles and statistical comparison
ArticleAbstract: Sales promotions have become in recent years a paramount issue in the marketing strategies of many cPalabras claves:Bootstrap, Machine learning, MARKETING, Price indices, Promotion, Signal processingAutores:Gimeno-Blanes F.J., Jose Luis Rojo-Álvarez, Martínez-Ruiz M.P., Mora-Jimnez I., Soguero-Ruiz C.Fuentes:scopusOn the differential benchmarking of promotional efficiency with machine learning modelling (II): Practical applications
ArticleAbstract: The assessment of promotional sales with models constructed by machine learning techniques is arousiPalabras claves:Bootstrap, Machine learning, MARKETING, Price indices, processing, Sales promotionAutores:Gimeno-Blanes F.J., Jose Luis Rojo-Álvarez, Martínez-Ruiz M.P., Mora-Jimnez I., Soguero-Ruiz C.Fuentes:scopusInformative variable identifier: Expanding interpretability in feature selection
ArticleAbstract: There is nowadays an increasing interest in discovering relationships among input variables (also caPalabras claves:classification, Explainable machine learning, feature selection, interpretability, ResamplingAutores:Gorostiaga A., Jose Luis Rojo-Álvarez, Mora-Jimnez I., Muoz-Romero S., Soguero-Ruiz C.Fuentes:scopusPbkp_redicting colorectal surgical complications using heterogeneous clinical data and kernel methods
ArticleAbstract: Objective: In this work, we have developed a learning system capable of exploiting information convePalabras claves:clinical decision support, Colorectal cancer, Electronic health records, feature selection, Heterogeneous clinical data, kernel methodsAutores: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.Fuentes:scopusPbkp_rediction of healthcare associated infections in an intensive care unit using machine learning and big data tools
Conference ObjectAbstract: Healthcare associated infections (HAIS) can be acquired by patients during their stay in a hospital.Palabras claves:BIG DATA, Healthcare Associated Infections, Intensive Unit Care, Machine learning, RISK FACTORSAutores:Álvarez-Rodríguez J., Jose Luis Rojo-Álvarez, Ramos-Lpez J., Revuelta-Zamorano P., Sanchez A., Soguero-Ruiz C.Fuentes:scopuson the differential analysis of enterprise valuation methods as a guideline for unlisted companies assessment (II): Applying machine-learning techniques for unbiased enterprise value assessment
ArticleAbstract: The search for an unbiased company valuation method to reduce uncertainty, whether or not it is autoPalabras claves:Bagging trees, Boosting Trees, Company valuation, Decision Trees, enterprise value, feature selection, Machine learning, Non-linear regression techniques, Supervised techniques, Supported vector machineAutores:Germania Vayas-Ortega, Gimeno-Blanes F.J., Jose Luis Rojo-Álvarez, Rodríguez-Ibáñez M., Soguero-Ruiz C.Fuentes:scopusSupport Vector Feature Selection for Early Detection of Anastomosis Leakage from Bag-of-Words in Electronic Health Records
ArticleAbstract: The free text in electronic health records (EHRs) conveys a huge amount of clinical information abouPalabras 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)Autores: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.Fuentes:scopus