1. Martínez

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    1. Mentioned In 28 Articles

    2. Universal Stanford Dependencies: A cross-linguistic typology

      Marie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira, Katri Haverinen, Filip Ginter, Joakim Nivre, and Christopher D. Manning. 2014. Universal Stanford Dependencies: A cross-linguistic typology. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC-2014).
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    3. Chromatin accessibility prediction via convolutional long short-term memory networks with k -mer embedding

      Advanced Search Abstract Motivation: Experimental techniques for measuring chromatin accessibility are expensive and time consuming, appealing for the development of computational approaches to predict open chromatin regions from DNA sequences. Along this direction, existing methods fall into two classes: one based on handcrafted k -mer features and the other based on convolutional neural networks.
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    4. Patient Understanding of the Risks and Benefits of Biologic Therapies in Inflammatory Bowel Disease: Insights from a Large-scale Analysis of Social Media Platforms.

      Patient Understanding of the Risks and Benefits of Biologic Therapies in Inflammatory Bowel Disease: Insights from a Large-scale Analysis of Social Media Platforms.
      Patient Understanding of the Risks and Benefits of Biologic Therapies in Inflammatory Bowel Disease: Insights from a Large-scale Analysis of Social Media Platforms. Inflamm Bowel Dis. 2017 Apr 13;: Authors: Martinez B, Dailey F, Almario CV, Keller MS, Desai M, Dupuy T, Mosadeghi S, Whitman C, Lasch K, Ursos L, Spiegel BMR
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      Mentions: IBD Martínez
    5. SmartBeings to Exhibit at CES 2017

      MARTINEZ, Calif. --(BUSINESS WIRE) Press Kit Materials are Available at: http://www.tradeshownews.com/events/ces-2017/SmartBeings/ Company: SmartBeings Booth/Stand: 51218 Event: CES 2017 Jan 5 - 8, 2017 Las Vegas, NV, US Web: http://www.SmartBeings.com Facebook: https://www.facebook.com/SmartBeings-1049489075170843/ Twitter: https://twitter.com/smartbeings YouTube: https://www.youtube.com/channel/UC5QEgxCIiDJ5iXu_Z5zqy3Q LinkedIn: https://www.linkedin.com/company/smartbeings-inc- About SmartBeings SmartBeings, Inc., a Silicon Valley ...
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      Mentions: Las Vegas Martínez
    6. Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources.

      Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources.
      Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources. J Biomed Inform. 2016 Oct 11;: Authors: Kocbek S, Cavedon L, Martinez D, Bain C, Mac Manus C, Haffari G, Zukerman I, Verspoor K
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    7. Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2.

      Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2.
      Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2. J Biomed Semantics. 2016;7(1):43 Authors: Mowery DL, South BR, Christensen L, Leng J, Peltonen LM, Salanterä S, Suominen H, Martinez D, Velupillai S, Elhadad N, Savova G, Pradhan S, Chapman WW
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    8. Integrating personalized health information from MedlinePlus in a patient portal.

      Integrating personalized health information from MedlinePlus in a patient portal.
      Integrating personalized health information from MedlinePlus in a patient portal. Stud Health Technol Inform. 2014;205:348-52 Authors: Borbolla D, Del Fiol G, Taliercio V, Otero C, Campos F, Martinez M, Luna D, Quiros F Abstract The objective of this paper is to describe the implementation and use of context aware information in Spanish from MedlinePlus embedded in a Patient Portal.
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    9. Cross-hospital portability of information extraction of cancer staging information.

      Cross-hospital portability of information extraction of cancer staging information.
      Cross-hospital portability of information extraction of cancer staging information. Artif Intell Med. 2014 Sep;62(1):11-21 Authors: Martinez D, Pitson G, MacKinlay A, Cavedon L Abstract OBJECTIVE: We address the task of extracting information from free-text pathology reports, focusing on staging information encoded by the TNM (tumour-node-metastases) and ACPS (Australian clinico-pathological stage) systems.
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    10. Facilitating Surveillance of Pulmonary Invasive Mold Diseases in Patients with Haematological Malignancies by Screening Computed Tomography Reports Using Natural Language Processing.

      Facilitating Surveillance of Pulmonary Invasive Mold Diseases in Patients with Haematological Malignancies by Screening Computed Tomography Reports Using Natural Language Processing. PLoS One. 2014;9(9):e107797 Authors: Ananda-Rajah MR, Martinez D, Slavin MA, Cavedon L, Dooley M, Cheng A, Thursky KA
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    11. Evaluating the state of the art in disorder recognition and normalization of the clinical narrative.

      Evaluating the state of the art in disorder recognition and normalization of the clinical narrative. J Am Med Inform Assoc. 2014 Aug 21; Authors: Pradhan S, Elhadad N, South BR, Martinez D, Christensen L, Vogel A, Suominen H, Chapman WW, Savova G Abstract OBJECTIVE: The ShARe/CLEF eHealth 2013 Evaluation Lab Task 1 was organized to evaluate the state of the art on the clinical text in (i) disorder mention ...
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