Parallel attribute reduction Spark method for large-scale classification of liver electronic medical records and lesions
An electronic medical record, large-scale technology, applied in the field of medical image processing, can solve problems such as low efficiency, long time for analysis and calculation of liver electronic medical record lesion classification data, and large amount of liver function attribute information data
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[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.
[0020] This embodiment provides a large-scale attribute parallel reduction Spark method for lesion classification of liver electronic medical records, such as Figure 1~2 As shown, it includes the following steps: S10 reads the data set of the liver electronic medical record and divides it into multiple liver medical record data subsets and sends them to corresponding slave nodes. S20 performs inconsistency processing on the subset of liver medical record data, reduces inconsi...
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