Table 2 Summary of aggregation methods and NaN removal used for each dataset.
Datasets | Aggregation Features | Gestational Age Bin: Number of CL NaNs | Method of handling NaNs |
|---|---|---|---|
General | Minimum, maximum and average CL and GA for all exams Differences between minimum and maximum CL and GA Feature cross for CL and GA features | No Missing Values | None |
Single | Average CL binned within the 18–20 week of GA window | Bin-18-20: 469 | NaNs were removed from Dataset |
GA-16-28 | Average CL binned within the 18–20, 20–22, 22–24, 24–28 week of GA windows | Bin-16-18: 452 Bin-18-20: 339 Bin-20-22: 527 Bin-22-24: 336 Bin-24-28: 130 | Single measurements of CL were dropped NaNs within CL bins were interpolated (linear) NaNs remaining were dropped |
GA-18-24 | Average CL binned within the 18–20, 20–22, 22–24 week of GA windows | Bin-18-20: 339 Bin-20-22: 527 Bin-22-24: 336 | Single measurements of CL were dropped NaNs within CL bins were interpolated (linear) NaNs remaining were dropped |
