Nursing-care Data Classification Using Neural Networks
Nursing-care data in this paper are Japanese texts written by nurses which consist of answers for questions about nursing-care.The nursing-care data are collected via WWW application from many hospitals in Japan.The collected data are stored into the database.The nursing-care experts evaluate the collected data to improve nursing-care quality.Currently,the collected data are evaluated by experts reading all texts carefully.It is difficult,however,for experts to evaluate the data because there are huge number of nursing-care data in the database.In this paper,to reduce workloads for the evaluation of nursing-care data,neural networks are used for classifying nursing-care data instead of fuzzy classification system.We use standard three-layer feedforward neural networks with back-propagation type learning.First,we extract attribute values (i.e.,training data)from texts written by nurses.And then,we train a neural network using the training data.From computer simulations,we show the effectiveness of our proposed system using the leaving-one out method.
M.Nii Y.Takahashi A.Uchinuno R.Sakashita
Gratuate School of Engineering,University of Hyogo Shosha 2167,Himeji,Hyogo 671-2201,Japan College of Nursing Art &Science,University of Hyogo Kitaouji-cho 13-71,Akashi,Hyogo 673-8588,Japan
国际会议
北京
英文
431-436
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）