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Software for determination of diagnostic markers for childhood apraxia speech (apraxia markers)

eagle-i ID

http://ohsu.eagle-i.net/i/0000012c-3bcb-d511-cc1a-f59980000000

Resource Type

  1. Software

Properties

  1. Resource Description
    "This software provides an automated method for assessment of childhood apraxia of speech. This disorder is a highly controversial disorder due to a lack of consensus on the features that define it and the etiologic conditions that explain its origin. The term Suspected Apraxia of Speech (sAOS) has been proposed as an interim term for this putative clinical entity. Future iterations of this software will attempt to develop a valid, reliable, and efficient means to classify children as positive for sAOS. This initial iteration of the software includes automated diagnostic markers for sAOS with clinically adequate sensitivity and specificity (> 90% positive and negative likelihood ratios). The four specific aims for future iterations are: (a) to automate and improve the sensitivity and specificity of two existing (manually derived) prosodic markers, (b) to develop four additional automatic, prosody-based diagnostic markers, (c) to derive a single diagnostic index based on a statistical derivative from the six individual markers, and (d) to validate the composite diagnostic marker using classification data obtained from expert clinical researchers."
  2. Used by
    Center for Spoken Language Understanding
  3. Website(s)
    http://projectreporter.nih.gov/project_info_description.cfm?aid=7035268&icde=3621381
  4. Website(s)
    http://www.ohsu.edu/xd/education/schools/school-of-medicine/departments/basic-science-departments/biomedical-engineering/center-for-spoken-language-understanding/diagnostic-markers-for-childho.cfm?WT_rank=1
  5. Developed by
    Hosom, John-Paul, Ph.D.
  6. Software license
    Open source software license
 
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Provenance Metadata About This Resource Record
Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016