5563818 Conference: Computer Science and Information Technology ICCSIT, 2010 3rd IEEE International Conference on, Volume: 9Abstract: ANN has been proved as  engineering   valuable discriminating classifier for tasks in clinical prognosis for early detection of illnesses. In our research, ANN has been used for predicting three different illnesses heart disorder, liver dysfunction, lung cancer. Feed ahead back propagation neural network set of rules with Multi Layer Perceptron is used as  engineering   classifier to differentiate among infected or non contaminated person. The outcomes of making use of  matlab  ANNs method to prognosis of thesedisease based upon selected indicators show expertise  engineering   matlab  network to be told  matlab  patterns akin to symptoms  engineering   matlab  person. In our proposed work, Multi Layer Perceptron with having 2 hidden layer is used to predict medical ailments. Here in case of liver dysfunction prediction sufferers are categorised into four classes: normal situation, irregular condition initial, irregular situation and severe condition. The constructed system considerably reduces  matlab  incubation time from  matlab  latest required time of 24 to 72 hours to less than 6 hours. The electrical interface  engineering   matlab  system makes matlab  feasible to automate  matlab  detection process, which can augment  matlab  throughput of samples by way of  engineering   testing facility. Finally,  matlab  whole setup can be realized as  engineering   compact bench top system, which are used at various facilities. Sample guidance and strategies for checking out are nearly exact to  matlab  based industrial protocols while  matlab  system provides leads to  engineering   fraction  engineering   matlab  present times. On  matlab  other hand,  matlab  experimental setup and biochips can be synthetic inexpensively, paving  matlab  way for version  engineering   matlab  proposed system. Figure 1 illustrates  matlab  conceptual drawing  engineering   matlab  system, which is composed of an array of biosensors with an built-in incubation chamber,  engineering   multiplexing circuitry, measurement electronics, and  engineering   computing device to display screen and manipulate  matlab  system and store  matlab  data.