A Multi-disciplinary Medical Treatment Decision Support System with intelligent treatment recommendation

In order to decide a medical treatment plan for a patient, experts from different disciplines should come together to discuss. This process is often time-consuming and organized in an inefficient way. A multi-disciplinary medical treatment decision support system is proposed and developed in order to speed up this process. Specifically, this system can recommend treatment plan according to a patient's clinical information. It is based on k-NN algorithm to learn the appropriate treatment from a patient database. The system structure together with the recommendation approach is introduced. The experimental results are also presented, which show the availability and good performance of this recommendation approach.