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1. Machine-learning-using-clinical-biomarkers-to-predict-NET-patient-outcomes-after-Lutathera-treatment Machine-learning-using-clinical-biomarkers-to-predict-NET-patient-outcomes-after-Lutathera-treatment Public

   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…

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2. Machine-learning-to-predict-environmental-dose-rates-from-a-radionuclide-therapy-service Machine-learning-to-predict-environmental-dose-rates-from-a-radionuclide-therapy-service Public

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

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3. Machine-learning-for-predicting-PETCT-scanning-referrals Machine-learning-for-predicting-PETCT-scanning-referrals Public

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

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

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

   Jupyter Notebook