Search Results - "Tseytlin, Eugene"

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    DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records by Savova, Guergana K, Tseytlin, Eugene, Finan, Sean, Castine, Melissa, Miller, Timothy, Medvedeva, Olga, Harris, David, Hochheiser, Harry, Lin, Chen, Chavan, Girish, Jacobson, Rebecca S

    Published in Cancer research (Chicago, Ill.) (01-11-2017)
    “…Precise phenotype information is needed to understand the effects of genetic and epigenetic changes on tumor behavior and responsiveness. Extraction and…”
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    Feature engineering and a proposed decision-support system for systematic reviewers of medical evidence by Bekhuis, Tanja, Tseytlin, Eugene, Mitchell, Kevin J, Demner-Fushman, Dina

    Published in PloS one (27-01-2014)
    “…Evidence-based medicine depends on the timely synthesis of research findings. An important source of synthesized evidence resides in systematic reviews…”
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    Digital Pathology Consultations—a New Era in Digital Imaging, Challenges and Practical Applications by Romero Lauro, Gonzalo, Cable, William, Lesniak, Andrew, Tseytlin, Eugene, McHugh, Jeff, Parwani, Anil, Pantanowitz, Liron

    Published in Journal of digital imaging (01-08-2013)
    “…Digital pathology has grown dramatically in the last 10 years and has created opportunities to not only support the triaging of difficult cases among…”
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  4. 4

    NOBLE - Flexible concept recognition for large-scale biomedical natural language processing by Tseytlin, Eugene, Mitchell, Kevin, Legowski, Elizabeth, Corrigan, Julia, Chavan, Girish, Jacobson, Rebecca S

    Published in BMC bioinformatics (14-01-2016)
    “…Natural language processing (NLP) applications are increasingly important in biomedical data analysis, knowledge engineering, and decision support. Concept…”
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    Fiswidgets: a graphical computing environment for neuroimaging analysis by Fissell, Kate, Tseytlin, Eugene, Cunningham, Daniel, Iyer, Karthickeyan, Carter, Cameron S, Schneider, Walter, Cohen, Jonathan D

    Published in Neuroinformatics (Totowa, N.J.) (2003)
    “…Current fMRI neuroimaging software programs offer the researcher a wealth of analysis methods and tools. However, the incompatibilities in user interface, data…”
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    Automated annotation and classification of BI-RADS assessment from radiology reports by Castro, Sergio M., Tseytlin, Eugene, Medvedeva, Olga, Mitchell, Kevin, Visweswaran, Shyam, Bekhuis, Tanja, Jacobson, Rebecca S.

    Published in Journal of biomedical informatics (01-05-2017)
    “…[Display omitted] •We developed an NLP system to extract all BI-RADS categories from breast radiology reports.•We evaluate the results of existing of an NLP…”
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    Metacognitive scaffolds improve self-judgments of accuracy in a medical intelligent tutoring system by Feyzi-Behnagh, Reza, Azevedo, Roger, Legowski, Elizabeth, Reitmeyer, Kayse, Tseytlin, Eugene, Crowley, Rebecca S.

    Published in Instructional science (01-03-2014)
    “…In this study, we examined the effect of two metacognitive scaffolds on the accuracy of confidence judgments made while diagnosing dermatopathology slides in…”
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    Automated detection of heuristics and biases among pathologists in a computer-based system by Crowley, Rebecca S., Legowski, Elizabeth, Medvedeva, Olga, Reitmeyer, Kayse, Tseytlin, Eugene, Castine, Melissa, Jukic, Drazen, Mello-Thoms, Claudia

    “…The purpose of this study is threefold: (1) to develop an automated, computer-based method to detect heuristics and biases as pathologists examine virtual…”
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    Building a gold standard to construct search filters: a case study with biomarkers for oral cancer by Frazier, John J, Stein, Corey D, Tseytlin, Eugene, Bekhuis, Tanja

    Published in Journal of the Medical Library Association (01-01-2015)
    “…To support clinical researchers, librarians and informationists may need search filters for particular tasks. Development of filters typically depends on a…”
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    An exploratory investigation of links between changes in adipokines and quality of life in individuals undergoing weight loss interventions: Possible implications for cancer research by Linkov, Faina, Burke, Lora E, Komaroff, Marina, Edwards, Robert P, Lokshin, Anna, Styn, Mindi A, Tseytlin, Eugene, Freese, Kyle E, Bovbjerg, Dana H

    Published in Gynecologic oncology (01-04-2014)
    “…Abstract Objective Obesity has been linked to a wide spectrum of malignancies, with the strongest association demonstrated for endometrial cancer. Although the…”
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    DomainBuilder: the knowledge authoring system for SlideTutor Intelligent Tutoring system [version 1; peer review: 1 approved, 1 approved with reservations] by Tseytlin, Eugene, Linkov, Faina, Castine, Melissa, Legowski, Elizabeth, Jacobson, Rebecca S

    Published in F1000 research (2018)
    “…One of the major challenges in the development of medical Intelligent Tutoring Systems (ITS) is the development of authored content, a time-consuming process…”
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  14. 14

    Perceptual analysis of the reading of dermatopathology virtual slides by pathology residents by Mello-Thoms, Claudia, Mello, Carlos A B, Medvedeva, Olga, Castine, Melissa, Legowski, Elizabeth, Gardner, Gregory, Tseytlin, Eugene, Crowley, Rebecca

    “…The process by which pathologists arrive at a given diagnosis-a combination of their slide exploration strategy, perceptual information gathering, and…”
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    Knowledge Author: facilitating user-driven, domain content development to support clinical information extraction by Scuba, William, Tharp, Melissa, Mowery, Danielle, Tseytlin, Eugene, Liu, Yang, Drews, Frank A, Chapman, Wendy W

    Published in Journal of biomedical semantics (23-06-2016)
    “…Clinical Natural Language Processing (NLP) systems require a semantic schema comprised of domain-specific concepts, their lexical variants, and associated…”
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    Evaluation of an Intelligent Tutoring System in Pathology: Effects of External Representation on Performance Gains, Metacognition, and Acceptance by Crowley, Rebecca S., Legowski, Elizabeth, Medvedeva, Olga, Tseytlin, Eugene, Roh, Ellen, Jukic, Drazen

    “…Determine effects of computer-based tutoring on diagnostic performance gains, meta-cognition, and acceptance using two different problem representations…”
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    A natural language intelligent tutoring system for training pathologists: implementation and evaluation by El Saadawi, Gilan M., Tseytlin, Eugene, Legowski, Elizabeth, Jukic, Drazen, Castine, Melissa, Fine, Jeffrey, Gormley, Robert, Crowley, Rebecca S.

    “…Introduction We developed and evaluated a Natural Language Interface (NLI) for an Intelligent Tutoring System (ITS) in Diagnostic Pathology. The system teaches…”
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    Effect of a limited-enforcement intelligent tutoring system in dermatopathology on student errors, goals and solution paths by Payne, Velma L, Medvedeva, Olga, Legowski, Elizabeth, Castine, Melissa, Tseytlin, Eugene, Jukic, Drazen, Crowley, Rebecca S

    Published in Artificial intelligence in medicine (01-11-2009)
    “…Summary Objectives Determine effects of a limited-enforcement intelligent tutoring system in dermatopathology on student errors, goals and solution paths…”
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