Prediction system, method, medium and online service platform for light perception-free eye prognosis analysis

Abstract

The invention discloses a prediction system, a method, a medium and an online service platform for light perception-free eye prognosis analysis, and relates to the technical field of eye trauma postoperative information processing. A clinical feature acquisition module is used for acquiring clinical samples from multiple centers and multiple hospitals based on out-group and in-group conditions designed by experts in the medical field, quantifying clinical features of each sample and constructing a data set; a data exploration and preprocessing module performs data cleaning, type conversion and missing value interpolation on the constructed data set; a prediction model construction and evaluation module is used for establishing a preoperative model and an intraoperative model, and performing performance evaluation and optimization on the models obtained in the training process; a data prediction module is used for predicting vision prognosis of open eye trauma light perception-free eyes; and systematic explanation of influence of clinical characteristics on prognosis is given at an individualized level. The method provides help for doctors to know postoperative outcome of affected eyes, provides intuitive postoperative result prediction for patients, reduces the difference between the patient expectation and the result, and improves the patient satisfaction.

Description

technical field [0001] The invention belongs to the technical field of postoperative information processing of ocular trauma, and in particular relates to a prediction system, a prediction method, a computer-readable storage medium, and an online service platform for prognosis analysis of dull eyes after open ocular trauma. Background technique [0002] Currently, the ocular trauma score (OTS score) is used in clinical work to predict prognosis based on six clinical indicators, namely: initial visual acuity (A), penetrating injury (B), retinal detachment (C), and pupillary conduction block ( D), rupture (E), endophthalmitis (F), final score=A+B+C+D+E+F. According to the final score, the corresponding OTS score (1-5) is obtained, and each OTS score corresponds to the probability of different vision prognosis of the affected eye. [0003] For the opaque eyes with open ocular trauma, the OTS score can only be 1 or 2 because the initial visual acuity is all opaque. This is equ...

AI Technical Summary

Problems solved by technology

However, there are indeed some patients who still cannot obtain visual function after two or more operations, and even still cannot avoid the bad luck of enucleation.

Therefore, how to predict the prognosis of non-light-sensitive eyes after open ocular trauma is very critical; currently, ocular trauma information data scoring has certain guiding value for the prognosis of traumatic eyes, but the accuracy of the data information is still limited. have certain limitations

[0008] (2) In the existing technology, in the identification of the possibility information of postoperative vision with / without light perception, which characteristic variable plays a greater role in the prognosis of vision, the information judgment is inaccurate, and it cannot provide a theory for later operations in accordance with

[0009] (3) The existing technology is a scoring criterion established by scholars such as Kuhn, but the theoretical basis for the establishment of this scoring criterion cannot be retrieved through literature search

However, open eye trauma, especially the non-light-sensitive eye, is usually complicated, and all structures in the eye may be damaged. Therefore, the prognosis of such a complicated trauma is only judged by five types of clinical indicators, and the prognosis is classified into Class 2, obviously not accurate enough

[0011] (5) The existing technology lacks a systematic discussion on the degree of influence of clinical characteristics on postoperative outcomes, and it is impossible to further systematically explain postoperative outcomes at an individual level

[0012] The difficulty of solving the above problems and defects is: to solve the above problems, it is difficult to achieve through the statistical methods commonly used in clinical practice.

Due to open eye trauma, the damage caused by the non-light-sensitive eye is diverse, and can involve various damages to various structures of the eyeball. Statistical methods are used to statistically analyze the different damage types of different structures, and the results are analyzed. The influence weight of each independent variable (injury) on the dependent variable (vision prognosis) is calculated, and a formula is calculated to predict the vision prognosis of open eye trauma without light perception. The workload is huge, and a large sample size is required. done, difficult to achieve

Similarly, there is no feasible method for the existing medical statistical methods on how to predict the visual prognosis of eyes with open ocular trauma without light sensitivity and how to give a systematic explanation of the impact of clinical characteristics on prognosis at the individual level

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