2023
|
Pérez, E; Ventura, S A framework to build accurate Convolutional Neural Network models for melanoma diagnosis Journal Article Knowledge-Based Systems, 260 , pp. 110157, 2023. BibTeX | Tags: Clinical Data Mining @article{perez2023framework,
title = {A framework to build accurate Convolutional Neural Network models for melanoma diagnosis},
author = {P'{e}rez, E. and Ventura, S.},
year = {2023},
date = {2023-01-01},
journal = {Knowledge-Based Systems},
volume = {260},
pages = {110157},
publisher = {Elsevier},
keywords = {Clinical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
2022
|
Trasierras, A M; Luna, J M; Ventura, S Improving the understanding of cancer in a descriptive way: An emerging pattern mining‐based approach Journal Article International Journal of Intelligent Systems, 37 (4), pp. 2822-2848, 2022. Links | BibTeX | Tags: Cancer, Clinical Data Mining, Data Science, Medical Data Mining, Pattern Mining @article{Trasierras2022,
title = {Improving the understanding of cancer in a descriptive way: An emerging pattern mining‐based approach},
author = {Trasierras, A. M. and Luna, J. M. and Ventura, S.},
url = {https://onlinelibrary.wiley.com/doi/full/10.1002/int.22503},
year = {2022},
date = {2022-01-01},
journal = {International Journal of Intelligent Systems},
volume = {37},
number = {4},
pages = {2822-2848},
keywords = {Cancer, Clinical Data Mining, Data Science, Medical Data Mining, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Pedraza-Arevalo, S; Alors-Pérez, E; Blazquez-Encinas, R; Herrera-Martinez, A; Jimenez-Vacas, J; Fuentes-Fayos, A; Reyes, O; Ventura, S; Sanchez-Sanchez, R; Ortega-Salas, R; Serrano-Blanch, R; Galvez-Moreno, M; Gahete, M; Ibanez-Costa, A; Luque, R; Castano, J Spliceosomic dysregulation unveils NOVA1 as an actionable therapeutic target in pancreatic neuroendocrine tumors Journal Article bioRxiv, 2022. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{Pedraza2022,
title = {Spliceosomic dysregulation unveils NOVA1 as an actionable therapeutic target in pancreatic neuroendocrine tumors},
author = {Pedraza-Arevalo, S. and Alors-P'{e}rez, E. and Blazquez-Encinas, R. and Herrera-Martinez, A. and Jimenez-Vacas, J. and Fuentes-Fayos, A. and Reyes, O. and Ventura, S. and Sanchez-Sanchez, R. and Ortega-Salas, R. and Serrano-Blanch, R. and Galvez-Moreno, M. and Gahete, M. and Ibanez-Costa, A. and Luque, R. and Castano, J.},
url = {https://www.biorxiv.org/content/10.1101/2022.02.09.479525v1.abstract},
year = {2022},
date = {2022-01-01},
journal = {bioRxiv},
publisher = {Cold Spring Harbor Laboratory},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Delgado-Osuna, J A; Garcia-Martinez, C; Ventura, S Smart Operators for Inducing Colorectal Cancer Classification Trees with PonyGE2 Grammatical Evolution Python Package Inproceedings 2022 IEEE Congress on Evolutionary Computation (CEC), pp. 1–9, IEEE 2022. BibTeX | Tags: Clinical Data Mining, Evolutionary Algorithms @inproceedings{delgado2022smart,
title = {Smart Operators for Inducing Colorectal Cancer Classification Trees with PonyGE2 Grammatical Evolution Python Package},
author = {Delgado-Osuna, J. A. and Garcia-Martinez, C. and Ventura, S.},
year = {2022},
date = {2022-01-01},
booktitle = {2022 IEEE Congress on Evolutionary Computation (CEC)},
pages = {1--9},
organization = {IEEE},
keywords = {Clinical Data Mining, Evolutionary Algorithms},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Perez, E; Ventura, S Multi-view Deep Neural Networks for multiclass skin lesion diagnosis Inproceedings 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), pp. 1–6, IEEE 2022. BibTeX | Tags: Classification, Clinical Data Mining @inproceedings{perez2022multi,
title = {Multi-view Deep Neural Networks for multiclass skin lesion diagnosis},
author = {Perez, E. and Ventura, S.},
year = {2022},
date = {2022-01-01},
booktitle = {2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)},
pages = {1--6},
organization = {IEEE},
keywords = {Classification, Clinical Data Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2021
|
Frias, M; Moyano, J M; Rivero-Juarez, A; Luna, J M; Camacho, A; Fardoun, H M; Machuca, I; Al-Twijri, M; Rivero, A; Ventura, S Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach Journal Article Journal of Medical Internet Research, 23 (2), pp. e18766, 2021, ISSN: 1438-8871. Links | BibTeX | Tags: Classification, Clinical Data Mining, Feature Selection, Supervised Learning @article{Moyano:2021b_JMIR,
title = {Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach},
author = {Frias, M. and Moyano, J. M. and Rivero-Juarez, A. and Luna, J. M. and Camacho, A. and Fardoun, H. M. and Machuca, I. and Al-Twijri, M. and Rivero, A. and Ventura, S.},
url = {https://doi.org/10.2196/18766},
doi = {10.2196/18766},
issn = {1438-8871},
year = {2021},
date = {2021-01-01},
journal = {Journal of Medical Internet Research},
volume = {23},
number = {2},
pages = {e18766},
keywords = {Classification, Clinical Data Mining, Feature Selection, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Rodriguez-Gonzalez, A; Ventura, S; Soda, P; Fernandez-Breis, J Introduction to the special issue on Methods and applications in the analysis of social data in healthcare Journal Article 2021. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{rodriguez2021introduction,
title = {Introduction to the special issue on Methods and applications in the analysis of social data in healthcare},
author = {Rodriguez-Gonzalez, A. and Ventura, S. and Soda, P. and Fernandez-Breis, J.},
url = {http://doi.org/10.1016/j.ipm.2020.102427},
doi = {10.1016/j.ipm.2020.102427},
year = {2021},
date = {2021-01-01},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Alors Perez, E; Blázquez-Encinas, R; Mafficini, A; Moreno Montilla, T; Viyuela-Garcia, C; Jiménez-Vacas, J M; Sánchez-Hidalgo, J M; Berbel, I; Marín-Sanz, J A; Sánchez-Fría, M E; Luchini, C; Pea, A; Ventura, S; Gahete, M D; Arjona-Sánchez, A; Lawlor, R T; Luque, R M; Scarpa, A; Ibáñez-Costa, A; Castaño, J P Splicing machinery dysregulation and its relationship with PDAC aggressiveness Journal Article Pancreatology, 21 , pp. S45, 2021. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{perez2021splicing,
title = {Splicing machinery dysregulation and its relationship with PDAC aggressiveness},
author = {Alors Perez, E. and Bl\'{a}zquez-Encinas, R. and Mafficini, A. and Moreno Montilla, T. and Viyuela-Garcia, C. and Jim'{e}nez-Vacas, J.M. and S\'{a}nchez-Hidalgo, J.M. and Berbel, I. and Mar\^{i}n-Sanz, J.A. and S\'{a}nchez-Fr\^{i}a, M.E. and Luchini, C. and Pea, A. and Ventura, S. and Gahete, M.D. and Arjona-S\'{a}nchez, A. and Lawlor, R.T. and Luque, R.M. and Scarpa, A. and Ib\'{a}\~{n}ez-Costa, A. and Casta\~{n}o, J.P.},
url = {https://www.sciencedirect.com/science/article/pii/S142439032100274X},
doi = {https://doi.org/10.1016/j.pan.2021.05.123},
year = {2021},
date = {2021-01-01},
journal = {Pancreatology},
volume = {21},
pages = {S45},
publisher = {Elsevier},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Blazquez-Encinas, R; Alors-Pérez, E; Mafficini, A; Moreno-Montilla, T; Viyuela-García, C; Abollo-Jiménez, F; Sánchez-Hidalgo, J M; Sánchez-Frías, M E; García-Vioque, V; Luchini, C; Pea, A; Ventura, S; Gahete, M D; Arjona, A; Lawlor, R T; Luque, R M; Scarpa, A; Ibáñez-Costa, A; Castaño, J P A functional role for splicing factor EIF4A3 dysregulation in pancreatic ductal adenocarcinoma Journal Article Pancreatology, 21 , pp. S75, 2021. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{blazquez2021functional,
title = {A functional role for splicing factor EIF4A3 dysregulation in pancreatic ductal adenocarcinoma},
author = {Blazquez-Encinas, R. and Alors-P'{e}rez, E. and Mafficini, A. and Moreno-Montilla, T. and Viyuela-Garc\^{i}a, C. and Abollo-Jim'{e}nez, F. and S\'{a}nchez-Hidalgo, J.M. and S\'{a}nchez-Fr\^{i}as, M.E. and Garc\^{i}a-Vioque, V. and Luchini, C. and Pea, A. and Ventura, S. and Gahete, M.D. and Arjona, A. and Lawlor, R.T. and Luque, R.M. and Scarpa, A. and Ib\'{a}\~{n}ez-Costa, A. and Casta\~{n}o, J.P.},
url = {https://www.sciencedirect.com/science/article/pii/S1424390321003513},
doi = {https://doi.org/10.1016/j.pan.2021.05.200},
year = {2021},
date = {2021-01-01},
journal = {Pancreatology},
volume = {21},
pages = {S75},
publisher = {Elsevier},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Alors-Perez, E; Blazquez-Encinas, R; Alcala, S; Viyuela-Garcia, C; Pedraza-Arevalo, S; Herrero-Aguayo, V; Jimenez-Vacas, J; Mafficini, A; Sanchez-Frias, M; Cano, M Dysregulated splicing factor SF3B1 unveils a dual therapeutic vulnerability to target pancreatic cancer cells and cancer stem cells with an anti-splicing drug Journal Article Journal of Experimental & Clinical Cancer Research, 40 (1), pp. 1–21, 2021. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{alors2021dysregulated,
title = {Dysregulated splicing factor SF3B1 unveils a dual therapeutic vulnerability to target pancreatic cancer cells and cancer stem cells with an anti-splicing drug},
author = {Alors-Perez, E. and Blazquez-Encinas, R. and Alcala, S. and Viyuela-Garcia, C. and Pedraza-Arevalo, S. and Herrero-Aguayo, V. and Jimenez-Vacas, J. and Mafficini, A. and Sanchez-Frias, M. and Cano, M.},
url = {https://jeccr.biomedcentral.com/articles/10.1186/s13046-021-02153-9},
doi = {10.1186/s13046-021-02153-9},
year = {2021},
date = {2021-01-01},
journal = {Journal of Experimental & Clinical Cancer Research},
volume = {40},
number = {1},
pages = {1--21},
publisher = {BioMed Central},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
2020
|
Luque, C; Luna, J M; Ventura, S A semantically enriched text mining system for clinical decision support Journal Article Computational Intelligence, pp. 1–26, 2020. Links | BibTeX | Tags: Clinical Data Mining, Predictive Models @article{Luque2020,
title = {A semantically enriched text mining system for clinical decision support},
author = {Luque, C. and Luna, J. M. and Ventura, S.},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/coin.12322?af=R&utm_source=researcher_app&utm_medium=referral&utm_campaign=RESR_MRKT_Researcher_inbound},
doi = {10.1111/coin.12322},
year = {2020},
date = {2020-01-01},
journal = {Computational Intelligence},
pages = {1--26},
keywords = {Clinical Data Mining, Predictive Models},
pubstate = {published},
tppubtype = {article}
}
|
Fuentes-Fayos, A; Vázquez-Borrego, M; Jiménez-Vacas, J; Bejarano, L; Pedraza-Arévalo, S; Blanco-Acevedo, C; Sánchez-Sánchez, R; Reyes, O; Ventura, S; Solivera, S; Breunig, J; Blasco, M; Gahete, M; Castaño, J; Luque, R Splicing machinery dysregulation drives glioblastoma development/aggressiveness: oncogenic role of SRSF3 Journal Article Brain, 2020. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{FuentesFayos2020,
title = {Splicing machinery dysregulation drives glioblastoma development/aggressiveness: oncogenic role of SRSF3},
author = {Fuentes-Fayos, A. and V\'{a}zquez-Borrego, M. and Jim'{e}nez-Vacas, J. and Bejarano, L. and Pedraza-Ar'{e}valo, S. and Blanco-Acevedo, C. and S\'{a}nchez-S\'{a}nchez, R. and Reyes, O. and Ventura, S. and Solivera, S. and Breunig, J. and Blasco, M. and Gahete, M. and Casta\~{n}o, J. and Luque, R.},
url = {https://academic.oup.com/brain/advance-article-abstract/doi/10.1093/brain/awaa273/5952721},
year = {2020},
date = {2020-01-01},
journal = {Brain},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
2019
|
Del Río-Moreno, M; Alors-Pérez, E; González-Rubio, S; Ferrín, G; Reyes, O; Rodríguez-Perálvarez, M; Sánchez-Frías, M E; Sánchez-Sánchez, R; Ventura, S; López-Miranda, J; Kineman, R D; De La Mata, M; Castaño, J P; Gahete, M D; Luque, R M Dysregulation of the Splicing Machinery Is Associated to the Development of Nonalcoholic Fatty Liver Disease Journal Article Journal of Clinical Endocrinology and Metabolism, 104 , pp. 3389-3402, 2019. Links | BibTeX | Tags: Clinical Data Mining, Predictive Models @article{DelR\^{i}o-Moreno20193389,
title = {Dysregulation of the Splicing Machinery Is Associated to the Development of Nonalcoholic Fatty Liver Disease},
author = {Del R\^{i}o-Moreno, M. and Alors-P'{e}rez, E. and Gonz\'{a}lez-Rubio, S. and Ferr\^{i}n, G. and Reyes, O. and Rodr\^{i}guez-Per\'{a}lvarez, M. and S\'{a}nchez-Fr\^{i}as, M. E. and S\'{a}nchez-S\'{a}nchez, R. and Ventura, S. and L\'{o}pez-Miranda, J. and Kineman, R. D. and De La Mata, M. and Casta\~{n}o, J. P. and Gahete, M. D. and Luque, R. M.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068565410&doi=10.1210%2fjc.2019-00021&partnerID=40&md5=af64fc02bdff1ee33d01d11edfd8c754},
doi = {10.1210/jc.2019-00021},
year = {2019},
date = {2019-01-01},
journal = {Journal of Clinical Endocrinology and Metabolism},
volume = {104},
pages = {3389-3402},
keywords = {Clinical Data Mining, Predictive Models},
pubstate = {published},
tppubtype = {article}
}
|
Luque, C; Luna, J M; Ventura, S MiNerDoc: A semantically enriched text mining system to transform clinical text into knowledge Inproceedings Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp. 702-707, 2019. Links | BibTeX | Tags: Clinical Data Mining, Data Mining Software, Medical Data Mining, Software Design and Development @inproceedings{Luque2019702,
title = {MiNerDoc: A semantically enriched text mining system to transform clinical text into knowledge},
author = {Luque, C. and Luna, J. M. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071027757&doi=10.1109%2fCBMS.2019.00142&partnerID=40&md5=791c42a28a44152800f19e8cb56e9a41},
doi = {10.1109/CBMS.2019.00142},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings - IEEE Symposium on Computer-Based Medical Systems},
volume = {2019-June},
pages = {702-707},
keywords = {Clinical Data Mining, Data Mining Software, Medical Data Mining, Software Design and Development},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Delgado-Osuna, J A; García-Martinez, C; Ventura, S; Barbadillo, J G Obtaining tractable and interpretable descriptions for cases with complications from a colorectal cancer database Inproceedings Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp. 459-464, 2019. Links | BibTeX | Tags: Associative Classification, Cancer, Clinical Data Mining, Predictive Models @inproceedings{Delgado-Osuna2019459,
title = {Obtaining tractable and interpretable descriptions for cases with complications from a colorectal cancer database},
author = {Delgado-Osuna, J. A. and Garc\^{i}a-Martinez, C. and Ventura, S. and Barbadillo, J. G.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071025177&doi=10.1109%2fCBMS.2019.00095&partnerID=40&md5=e8e8d64cc515babe3d00aa9c5e930944},
doi = {10.1109/CBMS.2019.00095},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings - IEEE Symposium on Computer-Based Medical Systems},
volume = {2019-June},
pages = {459-464},
keywords = {Associative Classification, Cancer, Clinical Data Mining, Predictive Models},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Reyes, O; Luque, R M; Castano, J; Ventura, S A supervised methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis Inproceedings Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp. 120-125, 2019. Links | BibTeX | Tags: Clinical Data Mining, Predictive Models @inproceedings{Reyes2019120,
title = {A supervised methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis},
author = {Reyes, O. and Luque, R. M. and Castano, J. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070981525&doi=10.1109%2fCBMS.2019.00035&partnerID=40&md5=9ab69988d7f1bd5a5aeaaa62facd6c1b},
doi = {10.1109/CBMS.2019.00035},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings - IEEE Symposium on Computer-Based Medical Systems},
volume = {2019-June},
pages = {120-125},
keywords = {Clinical Data Mining, Predictive Models},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Luque, C; Luna, J M; Luque, M; Ventura, S An advanced review on text mining in medicine Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9 (3), pp. 1-16, 2019. Links | BibTeX | Tags: Clinical Data Mining, Medical Data Mining @article{Luque2019,
title = {An advanced review on text mining in medicine},
author = {Luque, C. and Luna, J. M. and Luque, M. and Ventura, S.},
url = {https://onlinelibrary.wiley.com/doi/full/10.1002/widm.1302},
doi = {10.1002/widm.1302},
year = {2019},
date = {2019-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
volume = {9},
number = {3},
pages = {1-16},
keywords = {Clinical Data Mining, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
2014
|
Strack, B; Deshazo, J P; Gennings, C; Olmo, J L; Ventura, S; Cios, K J; Clore, J N Impact of HbA1c measurement on hospital readmission rates: Analysis of 70,000 clinical database patient records Journal Article BioMed Research International, 2014 , 2014. Links | BibTeX | Tags: Clinical Data Mining, Medical Data Mining @article{Strack-2014-BRI,
title = {Impact of HbA1c measurement on hospital readmission rates: Analysis of 70,000 clinical database patient records},
author = {Strack, B. and Deshazo, J. P. and Gennings, C. and Olmo, J. L. and Ventura, S. and Cios, K. J. and Clore, J. N.},
url = {http://dx.doi.org/10.1155/2014/781670},
doi = {10.1155/2014/781670},
year = {2014},
date = {2014-01-01},
journal = {BioMed Research International},
volume = {2014},
keywords = {Clinical Data Mining, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|