Software reuse in a paralysis dataset based on categorical clustering and the Pearson distribution

Software reuse is the process of building software applications that make use of formerly developed software components. in this paper, we explain the benefits that can be obtained from using statistical procedures for prescribing medicines, especially in rural areas, which have limited resources available on hand. it should be noted that although the expert systems were successful in research, they never dominated the market when actual patient treatment was considered. the proposed methodology is compared with the categorical clustering technique. the fenton and melton coupling metric is considered for the evaluation of the statistic model. the reliability of this methodology is also considered.