A method, system, medium, and computer program product for acne diagnosis and treatment prediction

Abstract

The application discloses a kind of acne diagnosis and treatment prediction method, system, medium and computer program product, it is related to artificial intelligence and medical health technical field, its technical scheme main point is: obtaining multi-view facial image data, extracting features by multi-branch CNN architecture, each branch extracts single-view feature, the single-view feature extracted is fused, obtain the feature after fusion, the feature after fusion is input into classification model, and obtain acne severity classification result;Obtain patient age, gender and prescription information, input patient age, gender and prescription information and acne severity classification result into trained prediction model, and obtain treatment prediction result;Using SHapley algorithm, establish prediction model interpreter, and explain treatment prediction result.The framework proposed in the application bridges the gap between acne diagnosis and personalized treatment planning, and provides a reliable and interpretable clinical tool for improving patient outcomes and optimizing treatment strategies.

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