Certainty level categorization of a crossmatch gives clinical flexibility in judgement of potential donors. All programs are written in the C language and are portable to numerous platforms. HES is implemented on an inexpensive IBM-PC compatible computer and can calculate predictions quickly. A shell-like software system for medical data analysis and decision support. Various basic statistical analyses are provided along with the decision support capabilities.
Genetic algorithm is implemented as the feature selection procedure.
Nearest Neighbors classifiers. Neural networks were obtained by using all the predictor variables in the neural network, or by using a genetic algorithm to select an optimal subset of predictor variables in a neural network. The use of a genetic algorithm gave a marked and significant improvement in the prediction of the INR in two of the three cases investigated.