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A versatile computational algorithm for time-series data analysis and machine-learning models.


ABSTRACT: Here we introduce Local Topological Recurrence Analysis (LoTRA), a simple computational approach for analyzing time-series data. Its versatility is elucidated using simulated data, Parkinsonian gait, and in vivo brain dynamics. We also show that this algorithm can be used to build a remarkably simple machine-learning model capable of outperforming deep-learning models in detecting Parkinson's disease from a single digital handwriting test.

SUBMITTER: Chomiak T 

PROVIDER: S-EPMC8578326 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature

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A versatile computational algorithm for time-series data analysis and machine-learning models.

Chomiak Taylor T   Rasiah Neilen P NP   Molina Leonardo A LA   Hu Bin B   Bains Jaideep S JS   Füzesi Tamás T  

NPJ Parkinson's disease 20211109 1


Here we introduce Local Topological Recurrence Analysis (LoTRA), a simple computational approach for analyzing time-series data. Its versatility is elucidated using simulated data, Parkinsonian gait, and in vivo brain dynamics. We also show that this algorithm can be used to build a remarkably simple machine-learning model capable of outperforming deep-learning models in detecting Parkinson's disease from a single digital handwriting test. ...[more]

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