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}
}
|
Pérez, E; Ventura, S An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis Journal Article Neural Computing and Applications, 34 (13), pp. 10429–10448, 2022. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Evolutionary Algorithms, Genetic Algorithms, Medical Data Mining, Melanoma Diagnosis, Special Issue @article{perez2022ensemble,
title = {An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis},
author = {P'{e}rez, E. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s00521-021-06655-7},
year = {2022},
date = {2022-01-01},
journal = {Neural Computing and Applications},
volume = {34},
number = {13},
pages = {10429--10448},
publisher = {Springer},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Evolutionary Algorithms, Genetic Algorithms, Medical Data Mining, Melanoma Diagnosis, Special Issue},
pubstate = {published},
tppubtype = {article}
}
|
2021
|
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}
}
|
Pérez, E; Ventura, S Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules Journal Article Cancers, 13 (19), pp. 4974, 2021. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis, Special Issue @article{perez2021melanoma,
title = {Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules},
author = {P'{e}rez, E. and Ventura, S.},
url = {https://www.mdpi.com/2072-6694/13/19/4974},
doi = {10.3390/cancers13194974},
year = {2021},
date = {2021-01-01},
journal = {Cancers},
volume = {13},
number = {19},
pages = {4974},
publisher = {MDPI},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis, Special Issue},
pubstate = {published},
tppubtype = {article}
}
|
2020
|
Jiménez-Vacas, J M; Herrero-Aguayo, V; Montero-Hidalgo, A J; Gómez-Gómez, E; Fuentes-Fayos, A C; León-González, A J; Sáez-Martínez, P; Alors-Pérez, E; Pedraza-Arévalo, S; González-Serrano, T; Reyes, O; Martínez-López, A; Sánchez-Sánchez, R; Ventura, S; Yubero-Serrano, E M; Requena-Tapia, M J; Castaño, J P; Gahete, M D; Luque, R M Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer Journal Article EBioMedicine, 51 , pp. 1–13, 2020, ISSN: 23523964. Links | BibTeX | Tags: Cancer, Medical Data Mining @article{Jimenez-Vacas2020,
title = {Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer},
author = {Jim'{e}nez-Vacas, J. M. and Herrero-Aguayo, V. and Montero-Hidalgo, A. J. and G\'{o}mez-G\'{o}mez, E. and Fuentes-Fayos, A. C. and Le\'{o}n-Gonz\'{a}lez, A. J. and S\'{a}ez-Mart\^{i}nez, P. and Alors-P'{e}rez, E. and Pedraza-Ar'{e}valo, S. and Gonz\'{a}lez-Serrano, T. and Reyes, O. and Mart\^{i}nez-L\'{o}pez, A. and S\'{a}nchez-S\'{a}nchez, R. and Ventura, S. and Yubero-Serrano, E. M. and Requena-Tapia, M. J. and Casta\~{n}o, J. P. and Gahete, M. D. and Luque, R. M.},
url = {https://www.sciencedirect.com/science/article/pii/S2352396419307492},
doi = {10.1016/j.ebiom.2019.11.008},
issn = {23523964},
year = {2020},
date = {2020-01-01},
journal = {EBioMedicine},
volume = {51},
pages = {1--13},
keywords = {Cancer, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Delgado-Osuna, J A; García-Martínez, C; Gómez-Barbadillo, J; Ventura, S Heuristics for interesting class association rule mining a colorectal cancer database Journal Article Information Processing and MA.gement, 57 (3), pp. 1–15, 2020, ISSN: 03064573. Links | BibTeX | Tags: Association Rule Mining, Cancer, Medical Data Mining @article{Delgado-Osuna2020a,
title = {Heuristics for interesting class association rule mining a colorectal cancer database},
author = {Delgado-Osuna, J. A. and Garc\^{i}a-Mart\^{i}nez, C. and G\'{o}mez-Barbadillo, J. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S0306457319313123},
doi = {10.1016/j.ipm.2020.102207},
issn = {03064573},
year = {2020},
date = {2020-01-01},
journal = {Information Processing and MA.gement},
volume = {57},
number = {3},
pages = {1--15},
keywords = {Association Rule Mining, Cancer, Medical Data Mining},
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}
}
|
Pérez, E; Reyes, O; Ventura, S Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study Journal Article Medical image analysis, 67 , pp. 101858, 2020. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis @article{Perez2020,
title = {Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study},
author = {P'{e}rez, E. and Reyes, O. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S136184152030222X},
year = {2020},
date = {2020-01-01},
journal = {Medical image analysis},
volume = {67},
pages = {101858},
publisher = {Elsevier},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {article}
}
|
Reyes, O; Pérez, E; Luque, R; Castaño, J; Ventura, S A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis Journal Article Artificial Intelligence in Medicine, 108 , pp. 101950, 2020. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Medical Data Mining, Melanoma Diagnosis @article{Reyes2020,
title = {A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis},
author = {Reyes, O. and P'{e}rez, E. and Luque, R. and Casta\~{n}o, J. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S0933365719312187},
year = {2020},
date = {2020-01-01},
journal = {Artificial Intelligence in Medicine},
volume = {108},
pages = {101950},
publisher = {Elsevier},
keywords = {Cancer, Data Preprocessing, Data Science, Medical Data Mining, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {article}
}
|
2019
|
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}
}
|
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}
}
|
2018
|
Reyes, O; Moyano, J M; Rivero-Juarez, A; Luque, R M; Rivero, A; Castaño, J; Ventura, S Extracción de factores relevantes en el análisis de datos biomédicos: una metodología basada en técnicas de aprendizaje supervisado Inproceedings XVIII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA 2018, pp. 861–866, 2018. Links | BibTeX | Tags: Medical Data Mining @inproceedings{Reyes2018d_CAEPIA,
title = {Extracci\'{o}n de factores relevantes en el an\'{a}lisis de datos biom'{e}dicos: una metodolog\^{i}a basada en t'{e}cnicas de aprendizaje supervisado},
author = {Reyes, O. and Moyano, J. M. and Rivero-Juarez, A. and Luque, R. M. and Rivero, A. and Casta\~{n}o, J. and Ventura, S.},
url = {https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_156.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {XVIII Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial, CAEPIA 2018},
pages = {861--866},
keywords = {Medical Data Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Reyes, O; Luna, J M; Moyano, J M; Pérez, E; Ventura, S Resolución de Problemas Biomédicos mediante Técnicas de Extracción de Conocimiento Inproceedings XVIII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA 2018, pp. 1252–1257, 2018. Links | BibTeX | Tags: Medical Data Mining @inproceedings{Reyes2018b_CAEPIA,
title = {Resoluci\'{o}n de Problemas Biom'{e}dicos mediante T'{e}cnicas de Extracci\'{o}n de Conocimiento},
author = {Reyes, O. and Luna, J. M. and Moyano, J. M. and P'{e}rez, E. and Ventura, S.},
url = {https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_102.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {XVIII Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial, CAEPIA 2018},
pages = {1252--1257},
keywords = {Medical Data Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gahete, M D; del Rio-Moreno, M; Alors-Perez, E; Reyes, O; Camargo A., Delgado-Lista J; Lopez-Miranda, J; Castaño, J P; Luque, R M Identification of an Altered Spliceosome-Associated Fingerprint As an Early, Predictive Event For the Development of Type 2 Diabetes In High-Risk Patients Inproceedings Endocrine Society Annual Meeting, USA, 2018. BibTeX | Tags: Medical Data Mining @inproceedings{Reyes2018d,
title = {Identification of an Altered Spliceosome-Associated Fingerprint As an Early, Predictive Event For the Development of Type 2 Diabetes In High-Risk Patients},
author = {Gahete, M. D. and del Rio-Moreno, M. and Alors-Perez, E. and Reyes, O. and Camargo, A., Delgado-Lista, J. and Lopez-Miranda, J. and Casta\~{n}o, J. P. and Luque, R. M.},
year = {2018},
date = {2018-01-01},
booktitle = {Endocrine Society Annual Meeting, USA},
keywords = {Medical Data Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gahete, M; del Rio-Moreno, M; Camargo, A; Alcala-Diaz, J F; Alors-Perez, E; Delgado-Lista, J; Reyes, O; Ventura, S; Perez-Martínez, P; Castaño, J P Changes in Splicing Machinery Components Influence, Precede, and Early Predict the Development of Type 2 Diabetes: From the CORDIOPREV Study Journal Article EBioMedicine, 37 , pp. 356–365, 2018. Links | BibTeX | Tags: Feature Selection, Medical Data Mining @article{Reyes2018g,
title = {Changes in Splicing Machinery Components Influence, Precede, and Early Predict the Development of Type 2 Diabetes: From the CORDIOPREV Study},
author = {Gahete, M. and del Rio-Moreno, M. and Camargo, A. and Alcala-Diaz, J. F. and Alors-Perez, E. and Delgado-Lista, J. and Reyes, O. and Ventura, S. and Perez-Mart\^{i}nez, P. and Casta\~{n}o, J. P.},
url = {https://www.sciencedirect.com/science/article/pii/S2352396418304791},
year = {2018},
date = {2018-01-01},
journal = {EBioMedicine},
volume = {37},
pages = {356--365},
publisher = {Elsevier},
keywords = {Feature Selection, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
2017
|
Luque, R M; Gahete, M D; Castaño, J P; Requena-Tapia, M J; Carrasco-Valiente, J; González, T; Moreno, M M; Reyes, O; Herrero-Aguayo, V; Gómez-Gómez, E; others, The Splicing Machinery is Profoundly Deregulated in Prostate Cancer: Pathological and Clinical Implications. Inproceedings 8th IMIBIC young Investigators workshop, Córdoba, Spain, 2017. BibTeX | Tags: Medical Data Mining @inproceedings{Reyes2017,
title = {The Splicing Machinery is Profoundly Deregulated in Prostate Cancer: Pathological and Clinical Implications.},
author = {Luque, R. M. and Gahete, M. D. and Casta\~{n}o, J. P. and Requena-Tapia, M. J. and Carrasco-Valiente, J. and Gonz\'{a}lez, T. and Moreno, M. M. and Reyes, O. and Herrero-Aguayo, V. and G\'{o}mez-G\'{o}mez, E. and others},
year = {2017},
date = {2017-01-01},
booktitle = {8th IMIBIC young Investigators workshop, C\'{o}rdoba, Spain},
keywords = {Medical Data Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gahete, M D; Luque, R M; Castaño, J P; de la Mata, M; Kineman, R D; Ventura, S; Rodríguez-Perálvarez, M; Reyes, O; Ferrín, G; González-Rubio, S Hepatic Steatosis in Obese Women is Associated with Alterations in Splicing Machinery Components Inproceedings 8th IMIBIC young Investigators workshop; Córdoba, Spain, 2017. BibTeX | Tags: Medical Data Mining @inproceedings{Reyes2017ab,
title = {Hepatic Steatosis in Obese Women is Associated with Alterations in Splicing Machinery Components},
author = {Gahete, M. D. and Luque, R. M. and Casta\~{n}o, J. P. and de la Mata, M and Kineman, R. D. and Ventura, S. and Rodr\^{i}guez-Per\'{a}lvarez, M. and Reyes, O. and Ferr\^{i}n, G. and Gonz\'{a}lez-Rubio, S.},
year = {2017},
date = {2017-01-01},
booktitle = {8th IMIBIC young Investigators workshop; C\'{o}rdoba, Spain},
keywords = {Medical Data Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2014
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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}
}
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