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'Toning' up hypotonia assessment: A proposal and critique.

Pragashnie NaidooRobin W E Joubert
Published in: African journal of disability (2016)
The first prototype and critique of a clinical algorithm to assist the clinical assessment of hypotonia in children has been described. Barriers highlighted include aspects related to knowledge gaps of clinicians, issues around user-friendliness and formatting concerns. Strengths identified by the critique included aspects related to the evidence-based nature of the criteria within the algorithm, the suitability of the algorithm in being merged or extending current practice, the potential of the algorithm in aiding more accurate decision-making, the suitability of the algorithm across age groups and the logical flow. These findings provide a starting point towards ascertaining the clinical utility of the algorithm as an essential step towards evidence-based praxis.
Keyphrases
  • machine learning
  • deep learning
  • neural network
  • healthcare
  • decision making
  • primary care
  • young adults
  • mass spectrometry