For many years, Parkinson's disease (PD) has been viewed as a tragedy for humanity. A lot of research is being done on how to detect it using an automated method. This necessitates the use of a machine learning model for PD early diagnosis. Studying the currently employed computational intelligence strategies in the field of research used for PD detection is a crucial requirement for developing a full proof model.