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Displaying results 1 - 4 of 4
  • 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 …
  • Content Type: Abstract

    Objective There were two objectives of this analysis. First, apply text-processing methods to free-text clinician notes extracted from the VA electronic medical record for automated detection of Influenza-Like-Illness. Secondly,… read more
    … the text-processing techniques alone and with addition of ESSENCE based ICD9 codes (VAMHCS 197) and clinical data … (91%,91%,16%). Combining text-processing methods with ESSENCE based ICD-9 codes or adding expectorant orders …
  • Content Type: Abstract

    Objective We performed a gold-standard manual chart review for gastro-intestinal syndrome to evaluate automated detection models based on both structured and non-structured data extracted from the VA … read more
    … models included “GI” ICD-9 code sets used in the “ESSENCE” and the “BioSense” syndromic surveillance systems. … on the index visit day of fever > 37.8ºC. RESULTS The ESSENCE and BioSense ICD-9 code sets detected 242 GI …
  • Content Type: Abstract

    A major goal of biosurveillance is the timely detection of an infectious disease outbreak. Once a disease has been identified, another very important goal is to find all known cases of the disease to assist public health… read more
    … the first stage, we used structured data and BioSense and ESSENCE ICD 9 codes on records during the study period …