Publications

@article{Cano2015236,

title = {Self-organising maps for the analysis of data from big cohorts. The case of the Spanish CARMEN cohort},

author = {Antonio Cano and Joan Vila-Franc\'{e}s and Ana Castro and Emilio Soria-Olivas},

url = {http://www.sciencedirect.com/science/article/pii/S0378512215004697},

doi = {http://dx.doi.org/10.1016/j.maturitas.2015.02.399},

issn = {0378-5122},

year  = {2015},

date = {2015-01-01},

journal = {Maturitas},

volume = {81},

number = {1},

pages = {236 -},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Cano2015220,

title = {Somatometric and clinical cardiovascular risk factors in midlife and older women. A tale of four European countries},

author = {Antonio Cano and Carol Holland and Joan Vila-Franc'es and Boukouvalas Alexis and Brown James and Ana Castro and Emilio Soria-Olivas and Nadine Correia Santos and Pedro Cunha and Nuno Sousa and Matthew D. O'Connell and Joanne Feeney and Rose Anne Kenny},

url = {http://www.sciencedirect.com/science/article/pii/S0378512215003965},

doi = {http://dx.doi.org/10.1016/j.maturitas.2015.02.348},

issn = {0378-5122},

year  = {2015},

date = {2015-01-01},

journal = {Maturitas},

volume = {81},

number = {1},

pages = {220 - 221},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/corr/Escandell-Montero15,

title = {Optimization of anemia treatment in hemodialysis patients via reinforcement learning},

author = {Pablo Escandell-Montero and Milena Chermisi and Jos\'{e} Mar\'{i}a Mart\'{i}nez-Mart\'{i}nez and Juan G\'{o}mez-Sanch\'{i}s and Carlo Barbieri and Emilio Soria-Olivas and Flavio Mari and Joan Vila-Franc\'{e}s and Andrea Stopper and Emanuele Gatti and Jos\'{e} David Mart\'{i}n-Guerrero},

url = {http://arxiv.org/abs/1509.03977},

year  = {2015},

date = {2015-01-01},

journal = {CoRR},

volume = {abs/1509.03977},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mart\'{i}nezMart\'{i}nez2014208,

title = {Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques},

author = {Jos\'{e} M. Mart\'{i}nez-Mart\'{i}nez and Pablo Escandell-Montero and Carlo Barbieri and Emilio Soria-Olivas and Flavio Mari and Marcelino Mart\'{i}nez-Sober and Claudia Amato and Antonio J. Serrano L\'{o}pez and Marcello Bassi and Rafael Magdalena-Benedito and Andrea Stopper and Jos\'{e} David Mart\'{i}n-Guerrero and Emanuele Gatti"},

year  = {2014},

date = {2014-01-01},

journal = {Computer Methods and Programs in Biomedicine},

volume = {117},

number = {2},

pages = {208 - 217},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{EscandellMontero201437,

title = {Least-squares temporal difference learning based on an extreme learning machine},

author = {Pablo Escandell-Montero and Jos\'{e} M. Mart\'{i}nez-Mart\'{i}nez and Jos\'{e} David Mart\'{i}n-Guerrero and Emilio Soria-Olivas and Juan G\'{o}mez-Sanchis},

url = {http://www.sciencedirect.com/science/article/pii/S0925231214003890},

doi = {http://dx.doi.org/10.1016/j.neucom.2013.11.040},

issn = {0925-2312},

year  = {2014},

date = {2014-01-01},

journal = {Neurocomputing},

volume = {141},

pages = {37 - 45},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{GomezSan14,

title = {Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay},

author = {Juan G\'{o}mez-Sanchis and D. Lorente and Emilio Soria-Olivas and N. Aleixos and S. Cubero and J. Blasco},

url = {http://dx.doi.org/10.1007/s11947-013-1158-9},

doi = {10.1007/s11947-013-1158-9},

issn = {1935-5130},

year  = {2014},

date = {2014-01-01},

journal = {Food and Bioprocess Technology},

volume = {7},

number = {4},

pages = {1047-1056},

publisher = {Springer US},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{martinez14,

title = {Hardware implementation methods in Random Vector Functional-Link Networks},

author = {Jose.M. Martinez-Villena and Alfredo Rosado-Munoz and Emilio Soria-Olivas},

url = {http://dx.doi.org/10.1007/s10489-013-0501-1},

doi = {10.1007/s10489-013-0501-1},

issn = {0924-669X},

year  = {2014},

date = {2014-01-01},

journal = {Applied Intelligence},

pages = {1-12},

publisher = {Springer US},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Caravaca20141,

author = {Juan Caravaca and Emilio Soria-Olivas and Manuel Bataller and Antonio J. Serrano and Luis Such-Miquel and Joan Vila-Franc\'{e}s and Juan F. Guerrero},

url = {http://www.sciencedirect.com/science/article/pii/S0010482513003375},

doi = {http://dx.doi.org/10.1016/j.compbiomed.2013.11.008},

issn = {0010-4825},

year  = {2014},

date = {2014-01-01},

journal = {Computers in Biology and Medicine},

volume = {45},

pages = {1 - 7},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{escandell-montero_optimization_2014,

title = {Optimization of anemia treatment in hemodialysis patients via reinforcement learning},

author = {Escandell-Montero, Pablo and Chermisi, Milena and Mart\'{i}nez-Mart\'{i}nez, Jos\'{e} M. and G\'{o}mez-Sanchis, Juan and Barbieri, Carlo and Soria-Olivas, Emilio and Mari, Flavio and Vila-Franc\'{e}s, Joan and Stopper, Andrea and Gatti, Emanuele and Mart\'{i}n-Guerrero, Jos\'{e} D.},

url = {http://www.aiimjournal.com/article/S0933365714000840/abstract},

doi = {10.1016/j.artmed.2014.07.004},

issn = {0933-3657},

year  = {2014},

date = {2014-01-01},

urldate = {2014-08-28},

journal = {Artificial Intelligence in Medicine},

volume = {62},

number = {1},

pages = {47--60},

abstract = {Objective Anemia is a frequent comorbidity in hemodialysis patients that can be successfully treated by administering erythropoiesis-stimulating agents (ESAs). ESAs dosing is currently based on clinical protocols that often do not account for the high inter- and intra-individual variability in the patient's response. As a result, the hemoglobin level of some patients oscillates around the target range, which is associated with multiple risks and side-effects. This work proposes a methodology based on reinforcement learning (RL) to optimize ESA therapy. Methods RL is a data-driven approach for solving sequential decision-making problems that are formulated as Markov decision processes (MDPs). Computing optimal drug administration strategies for chronic diseases is a sequential decision-making problem in which the goal is to find the best sequence of drug doses. MDPs are particularly suitable for modeling these problems due to their ability to capture the uncertainty associated with the outcome of the treatment and the stochastic nature of the underlying process. The RL algorithm employed in the proposed methodology is fitted Q iteration, which stands out for its ability to make an efficient use of data. Results The experiments reported here are based on a computational model that describes the effect of ESAs on the hemoglobin level. The performance of the proposed method is evaluated and compared with the well-known Q-learning algorithm and with a standard protocol. Simulation results show that the performance of Q-learning is substantially lower than FQI and the protocol. When comparing FQI and the protocol, FQI achieves an increment of 27.6% in the proportion of patients that are within the targeted range of hemoglobin during the period of treatment. In addition, the quantity of drug needed is reduced by 5.13%, which indicates a more efficient use of ESAs. Conclusion Although prospective validation is required, promising results demonstrate the potential of RL to become an alternative to current protocols.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Vald\'{e}sMas201439b,

title = {A New Approach based on Machine Learning for Predicting Corneal Curvature (K1) and Astigmatism in Patients with Keratoconus after Intracorneal Ring Implantation},

author = {M.A. Vald\'{e}s-Mas and J.D. Mart\'{i}n-Guerrero and M.J. Rup\'{e}rez and F. Pastor and C. Dualde and C. Monserrat and C. Peris-Mart\'{i}nez},

url = {http://www.sciencedirect.com/science/article/pii/S016926071400128X},

doi = {http://dx.doi.org/10.1016/j.cmpb.2014.04.003},

issn = {0169-2607},

year  = {2014},

date = {2014-01-01},

journal = {Computer Methods and Programs in Biomedicine},

volume = {116},

number = {1},

pages = {39 - 47},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Ferrer-Buedo:2013:MIS:2451989.2452185b,

title = {Matlab-based Interface for the Simultaneous Acquisition of Force Measures and Doppler Ultrasound Muscular Images},

author = {Ferrer-Buedo, Jos\'{e} and Mart\'{i}nez-Sober, Marcelino and Alakhdar-Mohmara, Yasser and Soria-Olivas, Emilio and Ben\'{i}tez-Mart\'{i}nez, Josep C. and Mart\'{i}nez-Mart\'{i}nez, Jos\'{e} M.},

url = {http://dx.doi.org/10.1016/j.cmpb.2012.09.009},

doi = {10.1016/j.cmpb.2012.09.009},

issn = {0169-2607},

year  = {2013},

date = {2013-01-01},

journal = {Comput. Methods Prog. Biomed.},

volume = {110},

number = {1},

pages = {76--81},

publisher = {Elsevier North-Holland, Inc.},

address = {New York, NY, USA},

keywords = {},

pubstate = {published},

tppubtype = {article}

}