Overview
Based on the risk factors affecting adolescent scoliosis found in the previous social survey, this project adopts the paradigm based on transfer learning and semi-supervised learning, and uses mathematical methods such as multiple learning methods and Transformer image classification algorithms to develop and verify the early warning model and stepped treatment model of adolescent scoliosis, and conducts cost-effect analysis.
Description
This study intends to build a standard system for the prevention and treatment of scoliosis in adolescents, do a good job in school health education and prevention and control work in school, comprehensively strengthen the construction of the prevention and control system of spondylosis, improve the ability of professionals in medical institutions, and give full play to the role of home-school-medical in the prevention and control of abnormal spinal curvature in children Firstly, relying on the investigation report, we independently develop the software platform and physical device for measuring, preventing and correcting scoliosis. Secondly, we use a series of prevention and control advantages to change from passive to active. Based on the Internet and big data technology, we integrate Western medicine data management and monitoring technology to establish the characteristics of the disease General disease information (personal history, family history, solar terms, climate and environment detection indicators, etc.) as one of the health management platform, the management platform set up health archives disease risk early warning health intervention and health promotion education follow-up management system management data quality control review data analysis and visualization 9 modules, respectively set up a management platform patient-side physician side and management background 3 parts through sampling investigation clinical research, break the medical school barriers, to build a personalized step treatment model for adolescent scoliosis.
Eligibility
Inclusion Criteria:
- Diagnosis of moderate to mild scoliosis (Cobb angle less than 45°), age 12-16 years, male or female, no psychiatric illness, normal communication, reading and writing
Exclusion Criteria:
- Patients with a clear history of triggers, such as diseases caused by trauma, surgery, etc., cognitive dysfunction, severe heart, liver, kidney and other organ dysfunction, malignant tumors, immune diseases and other malignant diseases