The proposed system basically aims at analyzing the DNA structure of the host in comparison with that of the causative organism. It basically consists of 4 modules. Initially the validity of data sample is checked. This checks for the presence of valid bases within the obtained sample. This can identify the presence of invalid mutations whether present or not within the new sample introduced. The pattern recognizing mechanism makes use of sampling the whole sequence and then generating the corresponding hash key pair. Once the validity is checked then comes the sequencing and sampling of the DNA data of the sample. This is done using the basic DNA Codon. The next involves processing the incoming (disease causing) DNA there by analyzing its pattern and mutation percentage. Also the novel algorithm proposes a way to match the host DNA with that of the incoming one. This is done by evaluating the structural similarity, sequence similarity as well as other important basic DNA parameters. The next step involves the prediction of disease that the host will be getting in near future. This involves the modification of the algorithm to the next level that makes it predict the disease. Further a different causative organism can come in future which has just few variations in the genetic composition as compared to the current organism. This few gene variations can be predicted using genetic algorithm. This novel method can give the disease prediction more accuracy. Also the mechanism will show the percentage of correction that the visitor DNA had done to the host DNA.
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