SYSTEM FOR CANCER THERAPEUTIC RECOMMENDATION USING MACHINE LEARNING TECHNIQUE AND METHOD THEREOF

摘要

The present invention relates to a system for recommending a therapeutic agent using a machine learning technique and a method therefor. According to the present invention, in a method for recommending a cancer treatment using a treatment recommendation system using a machine learning technique, the steps of constructing a cured patient database and a deceased patient database using characteristic information of cancer patients and cancer treatment prescription data, respectively; Creating a first neural network model by applying the characteristic information and prescription data included in the cured patient database to multi-level machine learning; Generating a second neural network model by applying to machine learning, receiving an input of characteristic information of a subject for receiving a recommendation for a cancer treatment agent, applying the characteristic information of the subject to the first neural network model to obtain one or more first cancer treatments extracting, applying the characteristic information of the subject to the second neural network model to extract one or more second cancer therapeutic agents, and when the second therapeutic agent is overlapped in the first therapeutic agent, the first therapeutic agent and providing a final recommended cancer treatment agent to the subject by removing the second therapeutic agent.