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EARLY AUTISM DETECTION

Steps

  1. Find Data: 2566 studies founded
  2. First Filter: Review studies relevance: 12 studies
  3. Second Filter: Find common data schemas (ados exam) between the studies: 9 studies.
  4. Pre-proccessing each data set:
    • Delete columns with more than 25% of NaN values.
    • Remove duplicate columns
    • Parse the columns name (features): All in lower case and removing special characters.
  5. Merge the 9 studies.
    • Standardization of the diagnosis format (y values)

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Early Autism Detection ML Model @ UC Berkeley

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