Abstract: Methods and systems to train a global model to estimate numbers of patients treated for each of multiple medical conditions by a medical facility, based on medicines administered by the medical facility. Training of the model may be tailored for a situation in which a first one of the medicines is administered for a plurality of the medical conditions and a second one of the medicines is administered for a subset of the plurality of medical conditions. Where the medicines include a general medicine administered for a plurality of the medical conditions, and one or more exclusive medicines, each administered for a respective one of the plurality of medical conditions, parameters of the model may be modified for the selected medical facility based a ratio at which the selected medical facility administers the general medicine amongst patients of a plurality of the diseases.