Port wine stain treatment method and system based on blood vessel-targeted photodynamic therapy

Abstract

The treatment method and system for port wine stains based on vascular-targeted photodynamic therapy, the predicted treatment plan is more accurate, the training model is more perfect, and the weight value of attribute data can be updated more scientifically and effectively. Under certain conditions, it can be very good. Find the global optimal solution of the objective function. Including: (1) Based on the case data of PWS patients in the past, build a special disease database and desensitize the data; (2) Use the combination of supervised model and unsupervised model to build a machine learning model-based Personalized treatment plan recommendation algorithm expert system; (3) read in the basic information of the current patient who needs to be diagnosed and treated, and the information of the focus of the disease; (4) perform data matching, and select several past cases that best match it as similar cases (5) Perform regression analysis on the input data to obtain the current patient's prediction treatment recommendation; (6) Output the results.

Description

technical field [0001] The present invention relates to the technical field of medical image processing, in particular to a treatment method for port wine stains based on blood vessel-targeted photodynamic therapy, and a treatment system for port wine stains based on blood vessel-targeted photodynamic therapy, which is based on past cases of port wine stains Data mining and analysis, based on the basic information and lesion information of the current patient, for the intelligent recommendation of the treatment plan for the dosage of photosensitizer, laser irradiation power and irradiation time when using vascular targeted photodynamic therapy for port wine stains , can effectively assist physicians in the treatment of port wine stains. Background technique [0002] Port Wine Stain (PWS) is a common congenital capillary disease, mostly on the face and neck, with an incidence of 0.3% to 0.5% in newborns. At present, the total number of patients with port wine stains in the w...

AI Technical Summary

Problems solved by technology

The easiest way to determine the size of the weight is based on the experience information of experts in related fields. Since each expert has different experience, each expert also has individual differences. At the same time, because the experience information is difficult to quantify into specific values, the effect of this method is often bad

Another method to determine the weight is based on the direct optimization of some specified objective function. This method is often difficult to optimize well or only find the local optimum of the optimization objective because the relationship between the objective function and the data attributes is too complicated. untie

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