HIGHLIGHTS
SUMMARY
Artificial intelligence and machine_learning technologies have recently made it possible to analyze large amounts of high-resolution molecular data. Using a Probabilistic Neural_Network (PNN), the researchers achieved a classification rate of 96.30%. Finite Boltzmann machines, automatic coding, "deep belief networks," and "oscillation neural_networks" are all part of this set of DL algorithms. It has been noted that neural_networking-based models that use AI and machine_learning are matching or exceeding the accuracy and expectations of results from traditional methods of diagnosis of MM. Thus, it can be said that shifting toward this method is . . .
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