Efficient mining and recommendation of sparse data through collaborative filtering technique in medical transcriptions
P. Hema, N. Sowriraja Pillai · 2014
The Recommendation technique plays a major role in today's real time scenarios. Recent researchers focus on data mining based on the difficulties of recommendation techniques associated with cluster of data. A new methodology for recommendation technique is proposed in this paper. It is related with the information of user's current selection and previous information of the specific user or group of users. At last, the concluding recommendation is made based on weighing the features of the user's history. In the proposed system, Medical Record datasets is taken as an input and based on the user's selection and Disease type, the prediction is done. The operation is implemented using Google App Engine, a cloud platform. The Login module is implemented using Google OAuth.