Construct an Approximation Decision Model of Medical Record by Neural Networks - The Ophthalmology Department as an Example

The most traditional formative education of doctors is to have students to simulate diagnosis and treatment modes of their teachers, or carry handbooks such as "clinical summary" and "suit the remedy to the case for clinical illness" with them as the guideline. However, the temporary approach by finding answers in the books is not only time-consuming, but also affects the confidence of the patients to the doctor. This research aims at the above-said clinical practice in clinical emergency call and doctor formative education. We take the ophthalmology as an example; utilize the back-propagation algorithm of the artificial neural networks, to construct an "approximation decision model of medical record" for clinical diagnosis guideline. The doctor can input information such as chief complaint, other complaint and diagnosis etc. into the decision model and then correct ophthalmologic approximation medical records are outputted as the reference of diagnosis and treatment to improve the quality of medical treatment and medical care.