Development of Scale Test Platform for Behavioral Medicine Using Artificial Intelligence Method to Accelerate the Computerization of Behavioral Medicine Scale

Abstract

The scale is a general rule summarized in a large number of clinical processes, and the professional medical scale is statistically scientific. In the medical field, scales are very important to the clinic, and many scales are used clinically to evaluate the severity and prognosis of diseases. The development of the scale requires a lot of effort, but the use of the traditional scale requires doctors to spend high learning costs to use and diagnose. Therefore, it is particularly important to develop an easy-to-use artificial intelligence-based intelligent testing platform for behavioral medicine scales. We analyze the behavioral medicine scale's norms (cutoff values), implementation procedures, assignments, scoring, score conversion, factors and conclusions and other attributes, and use object-oriented programming ideas to model behavioral medicine scales. Finally, according to this model, the behavioral medicine scale intelligent test platform is realized through C++ programming. Developed a test platform with multiple functions such as scale evaluation, scale import, scale management, user management, scale report reviews and printing, historical evaluation record statistical analysis and other functions, and it was carried out through the cerebrovascular disease scale and nursing scale verify. The platform has a certain general purpose and can be widely used in the development, verification and clinical application of the behavioral medicine scale assessment.