Disease detection method based on deep learning

The invention discloses a disease detection method based on deep learning, and the method comprises the steps: carrying out the keyword extraction of a case description inputted by a patient through a natural language processing technology, and carrying out the auxiliary discrimination of a disease through a system-user interaction mode; calculating the maximum outbreak time and the number of people of diseases by crawling disease data in a province and city range and an SIR infectious disease prediction model; and generating a family genetic disease mapping knowledge domain by using neo4j software in an entity-relationship-attribute triple form, and performing early warning on genetic diseases. According to the disease detection method based on deep learning, the patient is taken as the center, comprehensive, professional and personalized medical experience is given to the patient, advanced treatment experience is referred by combining big data, a safe and reliable treatment scheme is provided for the patien