1. A method for determining a regression of a medical condition, the method comprising: receiving, by a processor deployed in a communication network, characteristics of motion information, wherein the characteristics of motion information is based upon gait information; comparing, by the processor, the characteristics of motion information over a time period to a profile of the medical condition, wherein the profile of the medical condition comprises a plurality of signatures associated with different stages of the medical condition, wherein each of the plurality of signatures comprises a hidden markov model, wherein each of the plurality of signatures is a signature of a mode of motion that is associated with one of the different stages of the medical condition; determining, by the processor, a potential presence of the regression of the medical condition when the characteristics of motion information matches at least two of the plurality of signatures; and transmitting, by the processor, a notification of the potential presence of the regression of the medical condition.