抽象的な

K-MEANS CLUSTERING TO IDENTIFY HIGH ACTIVE NEURON ANALYSIS FOR LSD

Dr.D. Gladis , S.Rani

Computing process and mathematical modelling are used to solve many complex issues and are applied in all the major developments of Scientific, Engineering, Medical and Social applications. Computational approaches are attempted to identify the root cause of the disease in the medical domain. Medical Diagnosis, medical image processing, Bio informatics analysis techniques are widely used for the detection of the medication factors and its related causes. The internal complexity of the process is challenge in the medical field. Medical applications are build based on mathematical modelling and algorithms. The mathematical model is integrated on medical applications are attempted to solve different medical problems. This study identifies the functional relationship of Lysosomal storage disorder (LSD) Patients’ brain neuron high density and its active status.