This project developed a neural network based on nursing diagnoses among 98 nursing diagnoses Korea Nurses Association recommended when related factors and clinical signs are entered. This nursing diagnosis system consists of five sub-systems: data-input system from which a nurse can obtain knowledge from experts; data-base system in which nurses can manage statistical data; inference support system which provides learning effect; inference system which increases inference ability of nurses using existing data and nursing diagnoses data; and result-retrieve system in which nurses can look at the outcomes of nursing process. This nursing diagnosis system provides a interface which enables maintenance and revision easier as well as to induce a diagnosis through the communication between the nurse and the patient. In addition, this system makes nurses determine the nursing diagnoses in a more accurate manner by linking the learning effect of the system whit intra-neural network algorithm. This nursing diagnosis system will assist nurses to provide foster and more accurate way to implement nursing diagnosis.