Making a collective expert decision based on the Neumann-Pearson algorithm

The article discusses the possibility of processing voting results in the case of a team of experts with different efficiency in assessing the situation. The experts are expected to decide whether or not a patient has a specific disease. It is required to most reasonably combine the votes of individual experts in a collective decision of the council as a whole. The algorithm is based on the Neumann and Pearson principle of minimizing the probability of a type 2 error with a fixed probability of a type 1 error. It is shown that a team of experts with different qualifications can come to the correct conclusion with a high probability.