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Some of the methods, like cytomorphology, have been in use for decades, while other methods, such as next\u2010generation sequencing or even whole genome sequencing (WGS), are relatively new. The application of the methods and the evaluation of the results require distinct skills and knowledge and place different demands on the practitioner. However, even with experienced hematologists, diagnostic ambiguity remains a regular occurrence and the comprehensive analysis of high\u2010dimensional WGS data soon exceeds any human's capacity. Hence, in order to reduce inter\u2010observer variability and to improve the timeliness and accuracy of diagnoses, machine learning based approaches have been developed to assist in the decision making process. 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