ICD surgery and operation code automatic matching method based on deep learning
A deep learning and automatic matching technology, applied in the medical field, can solve problems such as overfitting or underfitting, the classification model cannot find a split method, and is prone to errors
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[0044] example 1:
[0045] Surgical description entered into the model: "Debridement and Suture of Craniofacial Laceration"
[0046] The output of the model passes the threshold And do threshold truncation, after which the model output is less than The result becomes 0, greater than or equal to becomes 1, is a real number between 0 and 1, and is a hyperparameter, which is obtained by adjusting In order to make the matching performance of the ICD code in the verification data to be optimal, and then obtain a value greater than that in p by taking the threshold method. , and find the code corresponding to the index, and backtrack the semantic space weight α, we can get:
[0047] "86.2201 Excisional debridement of skin wounds"
[0048] surgical description head noodle department crack hurt clear create sew combine technique Alpha 0.07 0.06 0.08 0.15 0.11 0.23 0.19 0.02 0.03 0.08
[0049] It can be seen that for the code...
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