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1. Machine-learning-using-clinical-biomarkers-to-predict-NET-patient-outcomes-after-Lutathera-treatmentMachine-learning-using-clinical-biomarkers-to-predict-NET-patient-outcomes-after-Lutathera-treatmentPublic

   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 patient…

   Jupyter Notebook 2 1

2. Machine-learning-to-predict-environmental-dose-rates-from-a-radionuclide-therapy-serviceMachine-learning-to-predict-environmental-dose-rates-from-a-radionuclide-therapy-servicePublic

   A project with the aim of predicting environmental radiation doses arising from a radionuclide therapy service based on patient treatment types and numbers.

   Jupyter Notebook 2

3. Machine-learning-for-predicting-PETCT-scanning-referralsMachine-learning-for-predicting-PETCT-scanning-referralsPublic

   A project with the aim of predicting future PETCT scanning referrals based on time-series analysis of past referrals.

   Jupyter Notebook

4. Machine-learning-for-non-small-cell-lung-cancer-nodal-staging-from-PETCT-molecular-imagingMachine-learning-for-non-small-cell-lung-cancer-nodal-staging-from-PETCT-molecular-imagingPublic

   Machine learning for non small cell lung cancer nodal staging from PETCT molecular imaging

   Jupyter Notebook