An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates

21 Jul 2016Christopher RoadknightDurga SuryanarayananUwe AickelinJohn ScholefieldLindy Durrant

This paper primarily addresses a dataset relating to cellular, chemical and physical conditions of patients gathered at the time they are operated upon to remove colorectal tumours. This data provides a unique insight into the biochemical and immunological status of patients at the point of tumour removal along with information about tumour classification and post-operative survival... (read more)

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