data about cancer patients, such as their names, addresses, race and ethnic origin, medical histories, insurance
claims, pharmaceutical prescriptions, eating and drinking habits and physical activity.
The company will use this sensitive data to build an Al algorithm that will spot common attributes that will
help predict if seemingly healthy people are more likely to get cancer. However, the company is unable to
obtain consent from enough patients to sufficiently collect the minimum data to train its model.
Which of the following solutions would most efficiently balance privacy concerns with the lack of available
data during the testing phase?
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