TY - GEN
T1 - Parkinson's disease subtype classification
T2 - 5th International Symposium on Current Progress in Mathematics and Sciences, ISCPMS 2019
AU - Nurrohman, A.
AU - Abdullah, S.
AU - Murfi, H.
N1 - Funding Information:
This work was financially supported by Universitas Indonesia under research grant Hibah PITTA B No:NKB-0665/UN2.R3.1/HKP.05.00.2019.
Publisher Copyright:
© 2020 Author(s).
PY - 2020/6/1
Y1 - 2020/6/1
N2 - Parkinson's Disease has two subtypes which are Tremor Dominant (TD) and Postural Instability/Gait Difficulty (PIGD). Each subtype has the difference in clinical treatment, so it is necessary to classify Parkinson's Disease subtypes. Three classification methods were implemented: decision tree, logistic regression, and logit leaf model (LLM). Data on 229 people with early Parkinson's disease from the PPMI (Parkinson's Progression Markers Initiative) database were used in the analysis. Imbalanced data problem were handled using oversampling, undersampling, SMOTE (Synthetic Minority Over-sampling Technique). Logistic regression with SMOTE using parameter set-up α=600, γ=200 produced the best result, according to the accuracy of 98.3 %, sensitivity of 98.41 %, and specificity of 99.07 %.
AB - Parkinson's Disease has two subtypes which are Tremor Dominant (TD) and Postural Instability/Gait Difficulty (PIGD). Each subtype has the difference in clinical treatment, so it is necessary to classify Parkinson's Disease subtypes. Three classification methods were implemented: decision tree, logistic regression, and logit leaf model (LLM). Data on 229 people with early Parkinson's disease from the PPMI (Parkinson's Progression Markers Initiative) database were used in the analysis. Imbalanced data problem were handled using oversampling, undersampling, SMOTE (Synthetic Minority Over-sampling Technique). Logistic regression with SMOTE using parameter set-up α=600, γ=200 produced the best result, according to the accuracy of 98.3 %, sensitivity of 98.41 %, and specificity of 99.07 %.
KW - Decision tree
KW - logistic regression
KW - logit leaf model (LLM)
KW - Parkinson's disease
KW - postural instability/gait difficulty (PIGD)
KW - tremor dominant (TD)
UR - http://www.scopus.com/inward/record.url?scp=85086651393&partnerID=8YFLogxK
U2 - 10.1063/5.0007880
DO - 10.1063/5.0007880
M3 - Conference contribution
AN - SCOPUS:85086651393
T3 - AIP Conference Proceedings
BT - Proceedings of the 5th International Symposium on Current Progress in Mathematics and Sciences, ISCPMS 2019
A2 - Mart, Terry
A2 - Triyono, Djoko
A2 - Ivandini, Tribidasari Anggraningrum
PB - American Institute of Physics Inc.
Y2 - 9 July 2019 through 10 July 2019
ER -