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Remove age dependency from attributes in order to forecast the equivalent age of children affected by down syndrome and moreover understand which features are optimal for predicting the equivalent age

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alessandrodicosola/ML4DownSyndrome

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Description

Remove age dependency in order to predict the equivalent age of children affected by down syndrome

Results

final result

Interesting attributes:

  • Strabismus and separation of the abdominal muscle [1]
  • Mouth permanently open [2] [4] (A tongue that tends to stick out of the mouth and Poor muscle tone or loose joints)
  • Fifth Finger Mid-Phalanx Hypoplasia [3]
  • Small ears [4]

1 2 :Bruce Buehler MD - Chair of Pediatrics UNMC - Director of the Munroe Meyer Institute for Genetics and Rehabilitation

3:Sonographic demonstration of hypoplasia of the middle phalanx of the fifth digit: a finding associated with Down syndrome

4:Centers for Disease Control and Prevention

License

  • No license in the original repository
  • GPLv3 in this repository~~~~

Project for AI in Industry (LIA) @ UniBo

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Remove age dependency from attributes in order to forecast the equivalent age of children affected by down syndrome and moreover understand which features are optimal for predicting the equivalent age

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