An integrated system for medical diagnosis: Laboratory findings

An integrated multidiscipline computer aided system for the diagnosis of neuromuscular disorders was developed. The system is able to process data based on the following diagnostic procedures: i. clinical assessment, ii. neurophysiological assessment, iii. muscle biopsy, iv. genetic assessment, and v. biochemical assessment The self organising feature maps neural network algorithm was applied on clinical and laboratory data collected from 71 subjects. Diagnostic yield of models investigated varied from 76 to 90%.