Thyroid nodule risk prediction method and system based on big data

Abstract

The invention discloses a thyroid nodule risk prediction method and system based on big data. The method comprises following steps of S1: acquisition of clinic data: collecting data of medical histories, signs and symptoms of a patient and recording the data; S2: ultrasonic examination: carrying out thyroid nodule checking of the patient, knowing the size, the shape, the nodule edge, the inner structure, the echo features, the blood flow conditions and the cervical lymph node conditions of the nodule; and S3: fine needle aspiration examination: carrying out thyroid nodule fine needle aspiration cytological examination on the patient, checking result data and carrying out recording. According to the invention, by acquiring clinic data of the patient, carrying out the ultrasonic examinationand the fine needle aspiration examination on the patient, and integrating the examination data, rapid extraction of the data is facilitated and risk prediction can be rapidly made.

Description

technical field [0001] The present invention relates to the technical field of thyroid nodule risk prediction, in particular to a method and system for thyroid nodule risk prediction based on big data. Background technique [0002] Thyroid nodules refer to lumps in the thyroid gland, which can move up and down with the thyroid gland with the swallowing action. Immunity and new organisms can all be manifested as nodules. Thyroid nodules can be single or multiple. The incidence of multiple nodules is higher than that of single nodules, but the incidence of thyroid cancer is higher for single nodules. Thyroid nodules Nodules or lumps, and goiter are the main symptoms. In addition, most patients with thyroid nodules have no clinical symptoms. They can find thyroid nodules through self-touch or physical examination, or go to the doctor because of goiter, and perform physical examination or B According to the super imaging examination, the existing risk prediction of thyroid nodu...

AI Technical Summary

Problems solved by technology

[0002] Thyroid nodules refer to lumps in the thyroid gland, which can move up and down with the thyroid gland with the swallowing action. Immunity and new organisms can all be manifested as nodules. Thyroid nodules can be single or multiple. The incidence of multiple nodules is higher than that of single nodules, but the incidence of thyroid cancer is higher for single nodules. Thyroid nodules Nodules or lumps, and goiter are the main symptoms. In addition, most patients with thyroid nodules have no clinical symptoms. They can find thyroid nodules through self-touch or physical examination, or go to the doctor because of goiter, and perform physical examination or B According to the super imaging examination, the existing risk prediction of thyroid nodules is not convenient to integrate the inspection data, the data is messy, it is not convenient to quickly extract the data, and it is not convenient to quickly make a risk prediction, so we propose a method based on Thyroid nodule risk prediction method and system based on big data to solve the above problems

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