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Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values
Also, missing values are unavoidable in health and medical datasets and tackling the problem arising from the inadequate instances and missingness is not straightforward (Snell, et al. 2017, Sterne, et al. 2009).
Imputation techniques on missing values in breast cancer treatment and fertility data
Clinical decision support using data mining techniques offers more intelligent way to reduce the decision error in the last few years.
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