Dorsey ER, Bloem BR. The Parkinson pandemic—a call to action. JAMA Neurol. 2018;75(1):9–10.

Article  Google Scholar 

Postuma RB, et al. MDS clinical diagnostic criteria for parkinson’s disease. Mov Disord. 2015;30(12):1591–601.

Article  Google Scholar 

Harel B, et al. Acoustic characteristics of parkinsonian speech: a potential biomarker of early disease progression and treatment. J Neurolinguistics. 2004;17(6):439–53.

Article  Google Scholar 

Ho AK, et al. Speech impairment in a large sample of patients with parkinson’s disease. Behav Neurol. 1999;11(3):131–7.

Article  Google Scholar 

Tsanas A, et al. Accurate telemonitoring of parkinson’s disease progression by noninvasive speech tests. IEEE Trans Biomed Eng. 2010;57(4):884–93.

Article  Google Scholar 

Sakar BE, et al. Collection and analysis of a Parkinson speech dataset with multiple types of sound recordings. IEEE J Biomedical Health Inf. 2013;17(4):828–34.

Article  Google Scholar 

Vasquez-Correa JC, et al. Towards an automatic evaluation of the dysarthria level of patients with parkinson’s disease. J Commun Disord. 2017;76:21–36.

Article  Google Scholar 

Quan C, et al. A deep learning based method for parkinson’s disease detection using dynamic features of speech. IEEE Access. 2021;9:10239–52.

Article  Google Scholar 

Zhang H, et al. Transformer-based deep learning model for parkinson’s disease detection using speech signals. Biomed Signal Process Control. 2022;71:103264.

Google Scholar 

Rubin DB. Estimating causal effects of treatments in randomized and nonrandomized studies. J Educ Psychol. 1974;66(5):688.

Article  Google Scholar 

Pearl J. The seven tools of causal inference, with reflections on machine learning. Commun ACM. 2019;62(3):54–60.

Article  Google Scholar 

Mostafa SA, et al. Examining multiple feature evaluation and classification methods for improving the diagnosis of parkinson’s disease. Cogn Syst Res. 2019;54:90–9.

Zhang Y, et al. Attention-based deep learning for parkinson’s disease detection from speech. Neural Comput Appl. 2021;33(15):9351–68.

Rahman W, et al. Explainable AI for Parkinson’s disease detection using voice recordings. Sci Rep. 2021;11(1):1–15.

Pearl J. Causality. Cambridge University Press. 2009.

Prosperi, M., et al. Causal inference and counterfactual prediction in machine learning for actionable healthcare. Nature Machine Intelligence, 2020;2(7):369-375. 

Mermelstein P. Distance measures for speech recognition—psychological and instrumental. Pattern recognition and artificial intelligence. Academic. 1976; pp. 374–88.

Tsanas A, Little MA, McSharry PE, & Ramig LO. Accurate telemonitoring of Parkinson's disease progression by noninvasive speech tests. IEEE Transactions on Biomedical Engineering, 2010;57(4):884–893.

Orozco-Arroyave JR, Honig F, Arias-Londoño JD, Vargas-Bonilla JF, Noth E. Automatic detection of parkinson’s disease from continuous speech recorded in non-controlled environments. IEEE J Biomedical Health Inf. 2016;20(3):854–66.

Google Scholar 

Bai S et al. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. In Proceedings of the 6th International Conference on Learning Representations. 2018.

Lea C, Flynn MD, Vidal R, Reiter A, Hager GD. Temporal convolutional networks for action segmentation and detection. In Proceedings of the IEEE conference on computer vision and pattern recognition. 2017;(pp. 156–165).

Vaswani A et al. Attention is all you need. Adv Neural Inf Process Syst, 2017;30.

Kusner MJ, Loftus J, Russell C, Silva R. Counterfactual fairness. In Advances in neural information processing systems, 2017;30.

Efron B, Tibshirani RJ. An introduction to the bootstrap. CRC. 1994.

Lundberg SM, Lee SI. A unified approach to interpreting model predictions. In Advances in neural information processing systems, 2017;30.

Demsar J. Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res. 2006;7:1–30.

Goberman AM, Coelho C. Acoustic analysis of clear versus conversational speech in speakers with Parkinson disease. J Commun Disord. 2002;35(3):253–72.

Google Scholar 

Canter GJ. Speech characteristics of patients with parkinson’s disease: II. Physiological support for speech. J Speech Hear Disorders. 1965;30(1):44–9.

Article  Google Scholar 

Rusz J, Cmejla R, Ruzickova H, Ruzicka E. Quantitative acoustic measurements for characterization of speech and voice disorders in early untreated parkinson’s disease. J Acoust Soc Am. 2011;129(1):350–67.

Article  Google Scholar