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Meta-learning methods have to be properly applied in a wide range of healthcare settings through a huge number of theoretical and experimental studies. Meta-learning in health care remains in its infancy and has as yet not appealed to a larger scientific community, even with the developments. Additional work attempts need to be done to bridge a gap in the literature by combining existing breakthroughs and their practical applications since it is the first systematic survey targeting meta-learning within this area. The scope of the adaptation is where meta-learning also diverges from base...