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Abstract

Aspects herein describe new methods of providing explainable solutions to domain-specific problems using artificial intelligence. A domain-specific problem, for example, a biological problem, is identified by a computational unit. The computational unit determines an initial feature subset comprising various features for observable characteristics of the problem. The computational unit optimizes the initial feature subset to improve the accuracy of the subset in generating a solution to the problem. The computational unit trains one or more predictive artificial intelligence models, based on the optimized subset, to output solutions to the problem. Subsequently, the computational unit utilizes the trained predictive model to output solutions to one or more additional domain-specific problems. The computational unit may additionally provide explainable solutions to the domain-specific problems by outputting a representation of steps performed by the predictive model to output the solutions.

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