Author_Institution :
Dept. of Inf. Manage., Jimei Univ., Xiamen, China
Abstract :
Based on systematic theory, this thesis takes hormones, including estrogen E2, follicle stimulating hormone FSH, luteinizing hormone LH, progesterone P, testosterone T, as research objects, researches mechanism of hormone and changing regularity of hormone of patients with Mammary Glands disease, and brings forward a new predication model, is of certain clinical significance to the early detection and prevention of mammary gland cancer, so as to increase early detection efficiency and survival rate, and offers scientific foundation to research, clinical diagnose, therapy, tracking of mammary disease.
Keywords :
cancer; fuzzy neural nets; inference mechanisms; medical information systems; patient diagnosis; clinic information research; estrogen E2; follicle stimulating hormone FSH; hormone; luteinizing hormone LH; mammary gland cancer detection; mammary gland cancer prevention; mammary glands disease; neural fuzzy inference system; progesterone P; testosterone T; Artificial neural networks; Biochemistry; Cancer; Diseases; Mammary glands; Training; Training data; endocrine; fuzzy inference system; hormone; neural net;
