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The repository includes thesis classifier(s) for cardiotocography data.

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pjehkonen/CTG_classification

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The code in this repository is byproduct of Master's Thesis of Petri Jehkonen.

  • Petri Jehkonen

If you use this tool in a program or publication, please acknowledge its author:

@misc{ctg_zigzag_2020,
  author    = {Jehkonen, Petri},
  title     = {ZigZag classifier: Detecting high FHR baseline variability in CTG data},
  month     = {11},
  year      = {2020},
  publisher = {Zenodo.here},
  version   = {version.here},
  doi       = {doi.here},
  url       = {full.url.here}
}

Input data format:

  • X: pd.DataFrame, shape (M, N) s.t. (M = time samples, N=observations).
  • y: binary vector, shape (M,), where 0 == no high variability and 1 == high variability.

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