Privacy-preserving collaborative data collection and analysis with many missing values
To control pandemics like the novel coronavirus infection (COVID-19), data such as the age, gender, family composition, and medical history of infected individuals are required. While patients themselves may provide this information to medical institutions, these details are highly confidential. If the data is properly handled for privacy protection, it can be shared with researchers worldwide without identifying the infected individual, which can help clarify the state of the pandemic and more accurately predict its progression. There ...
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