Refraction detection method, device, computer equipment and storage medium
A detection method, light detection technology, applied in the field of medical detection, can solve problems such as sequelae, ciliary muscle paralysis, detection equipment can not receive feedback signals, etc., to achieve the effect of avoiding side effects and sequelae
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Embodiment 1
[0024]figure 1 It is a flow chart of the refractive detection method provided in the first embodiment of the present invention. This embodiment can be applied to the situation of performing refractive detection for myopia patients waiting to be tested. The method can be executed by the refractive detection device provided in the embodiment of the present invention, which can be implemented by hardware and / or software, generally Can be integrated in computer equipment. Such asfigure 1 As shown, it specifically includes the following steps:
[0025]S11. Obtain electronic medical record data of the person to be tested, where the electronic medical record data includes the axial length of the eye and the average corneal refractive power.
[0026]Among them, electronic medical records refer to digital medical records that are saved, managed, transmitted, and reproduced with electronic devices, which are used to replace handwritten paper medical records. The content can include all information ...
Embodiment 2
[0039]figure 2 This is a flowchart of the refractive detection method provided in the second embodiment of the present invention. The technical solution of this embodiment is further refined on the basis of the above-mentioned technical solution. Optionally, for the solution that uses a neural network model for prediction, an adaptive layer is added to achieve better prediction results. Specifically, in this embodiment, the neural network model includes three branches, and each branch includes an input layer, a hidden layer, and an output layer. The three branches are used to output the fitting spherical lens power and the fitting equivalent spherical lens power. And fitting cylinder power; the neural network model also includes an adaptive layer for determining the spherical power and equivalent spherical power according to the fitting spherical power, the fitting equivalent spherical power, and the fitting cylindrical power.
[0040]Specifically, different target feature variables ca...
Embodiment 3
[0053]image 3 This is a schematic structural diagram of the refractive detection device provided in the third embodiment of the present invention. The device can be implemented by hardware and / or software, and generally can be integrated into a computer device. Such asimage 3 As shown, the device includes:
[0054]The data acquisition module 31 is configured to acquire electronic medical record data of the person to be tested, where the electronic medical record data includes the axial length of the eye and the average corneal refractive power;
[0055]The power prediction module 32 is used to predict the spherical power and the equivalent spherical power according to the electronic medical record data.
[0056]The technical solution provided by the embodiment of the present invention first obtains the electronic medical record data of the person to be tested, and then predicts the spherical power and the equivalent spherical power of the person to be tested based on the acquired electronic ...
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