Computational prediction of multidisciplinary team decision-making for adjuvant breast cancer drug therapies: A machine learning approach

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Computational prediction of multidisciplinary team decision-making for adjuvant breast cancer drug therapies: A machine learning approach

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Multidisciplinary team (MDT) meetings are used to optimise expert decision-making about treatment options, but such expertise is not digitally transferable between centres. To help standardise medical decision-making, we developed a machine learning model designed to predict MDT decisions about adjuvant breast cancer treatments. |

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Computational prediction of multidisciplinary team decision-making for adjuvant breast cancer drug therapies: A machine learning approach

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