Displaying results 1 - 4 of 4
-
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… Medically unexplained syndromes (MUS) are conditions that are diagnosed on the basis of … well-defined pathogenic pathways. The three most common MUS are chronic fatigue syndrome, irritable bowel syndrome, … Patients often meet the criteria for more than one MUS. Objectives We sought to develop a guideline and … -
Pilot Evaluation of Syndrome-specific School Absenteeism Data for Public Health Surveillance
Content Type: Abstract
School absenteeism data could be used as an early indicator for disease outbreaks. The increase in absences, however, may be driven by non-sickness related factors. Reason for absence combined with syndrome-specific information… read more… for disease outbreaks. The increase in absences, however, may be driven by non-sickness related factors. Reason for … disease outbreaks1, 2. The increase in absences, however, may be driven by non-sickness related factors. Reason for … for 38% of the sick absences, followed by unknown (26%), GI (18%), respiratory (16%), and rash (0.6%). There … -
Using NLP on VA Electronic Medical Records to Facilitate Epidemiologic Case Investigations
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… investigators. Natural language processing (NLP) systems may be able to assist in identifying epidemiological … to assist public health investigators. NLP systems may be able to assist in identifying epidemiological … asking us to assist them in identifying patients that may have been ill from respiratory illnesses circulating in … -
Automated Detection of GI Syndrome using Structured and Non-Structured Data from the VA EMR
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… METHODS We randomly sampled 15,377 of 253,818 outpatient visits to the VA Maryland Health Care system (VAMHCS) and … The NegEx algorithm for text-processing detected 2,338 visits with non-negated vomiting or diarrhea or abdominal pain. Altogether, 43 visits met the GI clinical case definition on the basis of …