Sathyavikasini, KalimuthuVijaya, Vijayakumar2023-11-202023-11-202017-08-07https://www.emerald.com/insight/content/doi/10.1108/WJE-09-2016-0075/full/htmlDiagnosing genetic neuromuscular disorder such as muscular dystrophy is complicated when the imperfection occurs while splicing. This paper aims in predicting the type of muscular dystrophy from the gene sequences by extracting the well-defined descriptors related to splicing mutations. An automatic model is built to classify the disease through pattern recognition techniques coded in python using scikit-learn framework.en-USMachine learningDescriptorsDisease IdentificationArticle