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Isabel Segura-Bedmar

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BMC Bioinformatics|July 6, 2022
Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from textsIsabel Segura-Bedmar, David Camino-Perdones, Sara Guerrero-Aspizua
Journal of Biomedical Informatics|August 7, 2010
A comparison of machine learning techniques for detection of drug target articlesRoxana Danger, Isabel Segura-Bedmar, Paloma Martínez, et al.
Journal of Chemical Information and Modeling|July 7, 2015
DINTO: Using OWL Ontologies and SWRL Rules to Infer Drug-Drug Interactions and Their MechanismsMaría Herrero-Zazo, Isabel Segura-Bedmar, Janna Hastings, et al.
BMC Medical Informatics and Decision Making|June 24, 2015
Exploring Spanish health social media for detecting drug effectsIsabel Segura-Bedmar, Paloma Martínez, Ricardo Revert, et al.
Journal of Biomedical Informatics|August 3, 2013
The DDI corpus: an annotated corpus with pharmacological substances and drug-drug interactionsMaría Herrero-Zazo, Isabel Segura-Bedmar, Paloma Martínez, et al.
BMC Bioinformatics|April 22, 2010
Resolving anaphoras for the extraction of drug-drug interactions in pharmacological documentsIsabel Segura-Bedmar, Mario Crespo, César de Pablo-Sánchez, et al.
Journal of Biomedical Informatics|December 8, 2021
The RareDis corpus: A corpus annotated with rare diseases, their signs and symptomsClaudia Martínez-deMiguel, Isabel Segura-Bedmar, Esteban Chacón-Solano, et al.
Journal of Biomedical Informatics|September 24, 2019
A two-stage deep learning approach for extracting entities and relationships from medical textsVíctor Suárez-Paniagua, Renzo M Rivera Zavala, Isabel Segura-Bedmar, et al.
Journal of Biomedical Informatics|September 30, 2018
Predicting of anaphylaxis in big data EMR by exploring machine learning approachesIsabel Segura-Bedmar, Cristobal Colón-Ruíz, Miguél Ángel Tejedor-Alonso, et al.
Journal of Cheminformatics|March 27, 2015
The CHEMDNER corpus of chemicals and drugs and its annotation principlesMartin Krallinger, Obdulia Rabal, Florian Leitner, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
BMC Bioinformatics|July 6, 2022
Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from textsIsabel Segura-Bedmar, David Camino-Perdones, Sara Guerrero-Aspizua
Journal of Biomedical Informatics|August 7, 2010
A comparison of machine learning techniques for detection of drug target articlesRoxana Danger, Isabel Segura-Bedmar, Paloma Martínez, et al.
Journal of Chemical Information and Modeling|July 7, 2015
DINTO: Using OWL Ontologies and SWRL Rules to Infer Drug-Drug Interactions and Their MechanismsMaría Herrero-Zazo, Isabel Segura-Bedmar, Janna Hastings, et al.
BMC Medical Informatics and Decision Making|June 24, 2015
Exploring Spanish health social media for detecting drug effectsIsabel Segura-Bedmar, Paloma Martínez, Ricardo Revert, et al.
Journal of Biomedical Informatics|August 3, 2013
The DDI corpus: an annotated corpus with pharmacological substances and drug-drug interactionsMaría Herrero-Zazo, Isabel Segura-Bedmar, Paloma Martínez, et al.
BMC Bioinformatics|April 22, 2010
Resolving anaphoras for the extraction of drug-drug interactions in pharmacological documentsIsabel Segura-Bedmar, Mario Crespo, César de Pablo-Sánchez, et al.
Journal of Biomedical Informatics|December 8, 2021
The RareDis corpus: A corpus annotated with rare diseases, their signs and symptomsClaudia Martínez-deMiguel, Isabel Segura-Bedmar, Esteban Chacón-Solano, et al.
Journal of Biomedical Informatics|September 24, 2019
A two-stage deep learning approach for extracting entities and relationships from medical textsVíctor Suárez-Paniagua, Renzo M Rivera Zavala, Isabel Segura-Bedmar, et al.
Journal of Biomedical Informatics|September 30, 2018
Predicting of anaphylaxis in big data EMR by exploring machine learning approachesIsabel Segura-Bedmar, Cristobal Colón-Ruíz, Miguél Ángel Tejedor-Alonso, et al.
Journal of Cheminformatics|March 27, 2015
The CHEMDNER corpus of chemicals and drugs and its annotation principlesMartin Krallinger, Obdulia Rabal, Florian Leitner, et al.
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