Comparision of  Sending HL7  Pateint Data with use of TrainLM Algorithm and SOAP based on time in Medical Informatics

Volume : IV, Issue : IV, April - 2015

Kanika Sharma, Rupinder Kaur Gurm

In this paper, analysis the speed of sending message in Healthcare standard 7 with the use of back propagation in

neural network. Various algorithms are define in backpropagtion in neural network we can use trainlm algorithm for

sending message purpose. This algorithm appears to be fastest method for training moderate sized feedforward neural network. The proposed

work is used in healthcare medical data. With the use of backpropagation in health care standard seven (HL7) sending message between two

systems. The proposed work to send HL7 patient data with use of TrainLm and also send patient data with SOAP .Compare both results on

the bases of time. Train LM algorithm is more fastest algorithm it can be increase efficiency and improve accuracy of the system as compare

to SOAP. Calculating less mse value with less time. Sending patient data more efficiently, accurately TrainLM best. It can also improve the

efficiency of the system.