Abstract
In some developing countries, the accessibility of excellent therapeutic resources is inadequate in rural areas. We propose an open and scalable medical auxiliary diagnosis platform, assigning training tasks and storage to large hospitals and conducting the trained disease discrimination models on rural clients. We test the performance of the platform with some common diseases.
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