Identifying of factor associated with parkinson's disease subtypes using random forest

E. Latifah, S. Abdullah, Saskya Mary Soemartojo

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

Abstract

Parkinson's disease (PD) is a neurodegenerative disorder that caused by the result of lack of dopamine in a specific area of the brain called bangsal ganglia. It is a long term degenerative disorder of the central nervous system that mainly effect the motor system that has some impacts such as difficulty in speech, problem in swallowing, and dressing, trouble with handwriting or even doing some activities, and tremor. Based on this problem, researchers use the Parkinson's Progression Markers Initiative (PPMI) database to classify subtypes: Tremor Dominant (TD) and Postural Instability Gait Difficulty (PIGD). Identifying the factors of Parkinson's disease subtypes is crucial in understanding the appropriate therapy for Parkinson's disease patient. Furthermore, it gives some characteristics of patient that is classified into TD or PIGD. Classification method is used to identify the factors of parkinson's disease subtypes on 207 patient with PD and 47 variables obtained from Movement Disorder Society-Unified Parkinson Disease Rating Scale (MDS-UPDRS) part II and part III in event V12. The result is PD patient who is classified to PIGD class have the lower value in constancy of rest tremor, rest tremore amplitude (RUE), tremor, rest tremor amplitude (LUE), and postural tremor of right hand than PD patient with TD and the higher value in postural stability, walking and balance, and freezing than PD patient with TD.

Original languageEnglish
Article number012064
JournalJournal of Physics: Conference Series
Volume1108
Issue number1
DOIs
Publication statusPublished - 4 Dec 2018
Event2nd Mathematics, Informatics, Science and Education International Conference, MISEIC 2018 - Surabaya, Indonesia
Duration: 21 Jul 2018 → …

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