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All Outputs (4)

Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters
Conference Proceeding
Roadknight, C., Aickelin, U., Qiu, G., Scholefield, J., & Durrant, L. Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters.

In this paper, we describe a dataset relating to cellular and physical conditions of patients who are operated upon to remove colorectal tumours. This data provides a unique insight into immunological status at the point of tumour removal,tumour cl... Read More about Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters.

An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates
Conference Proceeding
Roadknight, C., Suryanarayanan, D., Aickelin, U., Scholefield, J., & Durrant, L. (in press). 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 immunol... Read More about An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates.

Ensemble learning of colorectal cancer survival rates
Conference Proceeding
Roadknight, C., Aickelin, U., Scholefield, J., & Durrant, L. Ensemble learning of colorectal cancer survival rates.

In this paper, we describe a dataset relating to cellular and physical conditions of patients who are operated upon to remove colorectal tumours. This data provides a unique insight into immunological status at the point of tumour removal, tumour cla... Read More about Ensemble learning of colorectal cancer survival rates.

Biomarker clustering of colorectal cancer data to complement clinical classification
Conference Proceeding
Roadknight, C., Aickelin, U., Ladas, A., Soria, D., Scholefield, J., & Durrant, L. Biomarker clustering of colorectal cancer data to complement clinical classification.

In this paper, we describe a dataset relating to cellular and physical conditions of patients who are operated upon to remove colorectal tumours. This data provides a unique insight into immunological status at the point of tumour removal, tumour... Read More about Biomarker clustering of colorectal cancer data to complement clinical classification.