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

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

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 r...

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Bibliographic Details
Main Authors: Roadknight, Chris, Suryanarayanan, Durga, Aickelin, Uwe, Scholefield, John, Durrant, Lindy
Format: Conference or Workshop Item
Published: 2015
Subjects:
Ensemble
Bioinformatics
Machine Learning
Online Access:https://eprints.nottingham.ac.uk/34117/

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