Abstract: This invention relates to systems and methods for imputing missing data in a dataset, for determining a health condition of a person, and for calculating an insurance premium. In particular, the method described herein employs a trained autoencoder system which is configured to receive an input dataset comprising input data which has data missing therefrom. In a preferred example embodiment, the input data contains data associated with a person and the missing data is an HIV and/or Syphilis status of the person. The trained autoencoder system is configured to impute the missing data from the input dataset, which in the case of the preferred example embodiment is to impute or predict the HIV and/or Syphilis status of the person.