The primary drawback of using simple mean imputation for physiological sensor data is the loss of temporal dependency, which occurs because mean imputation replaces missing values with the global average of the dataset regardless of the surrounding data points. Physiological signals, such as heart rate or blood oxygen levels, are time-series data, meaning each measurement is statis....
Log in to view the answer
