Diagnosis of Laryngitis and Cordectomy using Machine Learning with ML.Net and SVD

Nowadays, machine learning is playing an important role in providing automated results to the humanity. It is gaining researchers attention day by day and providing more accurate and fast results in every second research. Additionally, Microsoft's machine learning, an open-source cross-platform, is used in this study. For the classification of speech disorders like Chordektomie and Laryngitis against normal, it is used in a. Net5-based web application. Several experiments were performed with the ML model by training it with different sets of features to evaluate best set of features for accurate result.