Design of Medical Diagnostic System Based on Artificial Intelligence
Main Article Content
Abstract
With the progress of science and technology, material life is getting better and better now, so people have begun to have higher and higher requirements for life and longevity has more and more yearning. In ancient times are through artificial diagnosis to find out the physical condition, Chinese medicine is expected to smell cut the four major methods of diagnosis and treatment, but can achieve this skill only a small number of people, and most of the disease can not be identified, not good to treat patients. So now with the progress of science and technology, technology and intelligent rapid development, artificial intelligence may be able to make some contributions to the diagnosis of the disease. Therefore, the purpose of this paper is to design artificial intelligence-based medical diagnostic system to update. In this paper, after identifying the basic structure of artificial intelligence and constructing the database, we understand the diagnosis methods of medical diagnostic system and other diagnostic systems, and finally, the medical diagnostic system can be updated by using the phase-changing algorithm, so that it can better fit with artificial intelligence, so as to ensure the success rate of treatment and the correct rate of diagnosis. Experimental results show that the use of artificial intelligence as a basis for medical diagnostic systems can better identify the disease and make complementary treatment options.
Article Details

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with International Journal for Applied Information Management agree to the following terms: Authors retain copyright and grant the International Journal for Applied Information Management right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) the work for any purpose, even commercially with an acknowledgement of the work's authorship and initial publication in International Journal for Applied Information Management. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in International Journal for Applied Information Management. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).