An Intelligent Decision-Making Method for Graded Diagnosis and Treatment of Thyroid Disease Based on Deep Learning
Qiao Pan, Kaiqi Sun, Jiajin Le, Dehua Chen, Hang Li · 2018
Hierarchical medical system is the concerned medical system today, which is of great significance for reducing the pressure on the patient and tertiary institutions. A large number of ordinary patients go to the experts in tertiary institutions because they don't trust the basic-level hospital and worry about misdiagnose, which results in shortage of medical resources in tertiary institutions and waste of medical resources in the basic medical institution. In this paper, we design a thyroid disease evaluation model based on deep learning for blood tests and thyroid ultrasound report by analyzing the clinical data of thyroid patients in a top three comprehensive hospital. The model can assess the severity of the thyroid disease and give referral advice which can help doctor in the basic medical institution to make decision, so as to improve the accuracy of the doctor's judgment and guide patients to basic medical institution. This is a new way to promote the implementation of hierarchical medical system.