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Displaying results 25 - 32 of 121
  • Using clinician mental models to guide annotation of medically unexplained symptoms and syndromes found in VA clinical documents

    Content Type: Abstract

    Medically unexplained syndromes (MUS) are conditions that are diagnosed on the basis of symptom constellations and are characterized by a lack of well-defined pathogenic pathways. The three most common MUS are chronic fatigue … read more
    … will support building a reference standard used for training and evaluation of a Natural Language Processing … will support building a reference standard used for training and evaluation of a Natural Language Processing … of clinician annotators. Annotated data can be used to train NLP tools for related surveillance tasks including …
  • Talking Turkish: Using N-Grams for Syndromic Surveillance in a Turkish Emergency Department without the Need for English Translation

    Content Type: Abstract

    Previously we used an “N-Gram” classifier for syndromic surveillance of emergency department (ED) chief complaints (CC) in English for bioterrorism. The classifier is trained on a set of ED visits for which both the ICD diagnosis code and CC are… read more
    … Our objective was to apply the N-Gram method to a training set of Turkish ED data to create a Turkish CC … Our objective was to apply the N-Gram method to a training set of Turkish ED data to create a Turkish CC … technologies applied to the first 10 months of data as a training set to create a Turkish CC RESP classifier. We next …
  • Real-time Adaptive Monitoring of Vital Signs for Clinical Alarm Preemption

    Content Type: Abstract

    Cardiovascular event prediction has long been of interest in the practice of intensive care. It has been approached using signal-processing of vital signs [1-4], including the use of graphical models [3,4]. Our approach is novel in making data… read more
    … and in real time, without requiring patient-specific training data if the patient-specific feedback signal is … and in real time, without requiring patient-specific training data if the patient-specific feedback signal is … subsampling, using data from the patients held out of the training set. The proposed approach brings the AUC metric …
  • Identification of features for detection and prediction of homelessness from VA clinical documents

    Content Type: Abstract

    Homelessness in general is a major issue in the US today. The risk factors of homelessness are myriad, including inadequate income, lack of affordable housing, mental health and substance abuse issues, lack of social support, and nonadherence to… read more
    … documents. This domain knowledge can be used to support training and evaluation of automated methods such as Natural … documents. This domain knowledge can be used to support training and evaluation of automated methods such as Natural … documents. This domain knowledge can be used to support training and evaluation of automated methods such as Natural …
  • Monitoring and Evaluation Mechanism for Multi- Center Capacity Building Gestational Diabetes Program for Physicians in India

    Content Type: Abstract

    International Diabetes Federation (IDF) estimates that 21.4 million women in 2013 had some form of hyperglycaemia in pregnancy and in India alone an estimated 4 million women have GDM. Recognizing the shortfall of trained manpower; Certificate… read more
    … spread across 17 states and 39 cities across 55 regional training centers and trained 2400 Primary care physicians … spread across 17 states and 39 cities across 55 regional training centers and trained 2400 Primary care physicians …
  • Linking Emergency Medical Service Data to Death Records for Opioid Mortality Surveillance

    Content Type: Abstract

    Opioid abuse has increased exponentially in recent years throughout the United States, leading to an increase in the incidence of emergency response activities, hospitalization, and mortality related to opioid overdose. As a result, states that have… read more
    … and acute treatment, first responder and hospital staff training, cross-agency collaboration, and Incident … and acute treatment, first responder and hospital staff training, cross-agency collaboration, and Incident …
  • Development of an Introductory Continuing Medical Education Program for Public Health Professionals and Clinicians in Syndromic Surveillance

    Content Type: Abstract

    58 medical licensure boards require between 12 and 50 hours of Continuing Medical Education (CME) for re-licensure of physicians. 28 states as well as Puerto Rico, the U.S. Virgin Islands, and the Mariana Islands, require… read more
    … available for CME or CNE.   Objective The Education and Training Committee of the International Society for Disease … Sciences, Bangkok, Thailand Objective: The Education and Training Committee of the International Society for Disease …
  • Improvement in Performance of Ngram Classifiers with Frequent Updates

    Content Type: Abstract

      Syndromic surveillance of emergency department(ED) visit data is often based on computerized classifiers which assign patient chief complaints (CC) tosyndromes. These classifiers may need to be updatedperiodically to account for changes… read more
    … creates a CC classifier automatically based on a training set of patient visits for which both the CC and … creates a CC classifier automatically based on a training set of patient visits for which both the CC and … for lower GI. The N-Gram CC classifiers were built from training sets chosen in three different and pro- gressively …