Richard Meades's Projects
This repo contains my attempts at developing machine learning algorithms in python to predict the house prices in Ames, Iowa as part of the following Kaggle competition: https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques
This repo contains my attempts at developing machine learning algorithms in python to predict the titanic survivors as part of the following Kaggle competition: https://www.kaggle.com/competitions/titanic
Machine learning for non small cell lung cancer nodal staging from PETCT molecular imaging
A project with the aim of predicting future PETCT scanning referrals based on time-series analysis of past referrals.
A project with the aim of predicting environmental radiation doses arising from a radionuclide therapy service based on patient treatment types and numbers.
This work is an initial investigation into the predictive potential of a range of machine learning algorithms applied to baseline circulating biomarkers for the prognostic stratification of patients with advanced neuroendocrine tumours receiving 177Lu oxodotreotide therapy