Published on in Vol 8, No 9 (2020): September
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/18689, first published
.
Journals
- Bhangale K, Mohanaprasad K. A review on speech processing using machine learning paradigm. International Journal of Speech Technology 2021;24(2):367 View
- Rosenblum S, Richardson A, Meyer S, Nevo T, Sinai M, Hassin-Baer S. DailyCog: A Real-World Functional Cognitive Mobile Application for Evaluating Mild Cognitive Impairment (MCI) in Parkinson’s Disease. Sensors 2021;21(5):1788 View
- Fereshtehnejad S, Rodríguez-Violante M, Ponce-Rivera M, Martinez-Ramirez D, Ramirez-Zamora A. COVID-19 and Integrated Multidisciplinary Care Model in Parkinson’s Disease: Literature Review & Future Perspectives. Behavioral Sciences 2022;12(11):447 View
- Dixit S, Bohre K, Singh Y, Himeur Y, Mansoor W, Atalla S, Srinivasan K. A Comprehensive Review on AI-Enabled Models for Parkinson’s Disease Diagnosis. Electronics 2023;12(4):783 View
- Amato F, Saggio G, Cesarini V, Olmo G, Costantini G. Machine learning- and statistical-based voice analysis of Parkinson’s disease patients: A survey. Expert Systems with Applications 2023;219:119651 View
- Iyer R, Nedeljkovic M, Meyer D. Using Voice Biomarkers to Classify Suicide Risk in Adult Telehealth Callers: Retrospective Observational Study. JMIR Mental Health 2022;9(8):e39807 View
- Rana A, Dumka A, Singh R, Panda M, Priyadarshi N. A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson’s Disease: Past Studies and Future Perspectives. Diagnostics 2022;12(11):2708 View
- Lamba R, Gulati T, Jain A, Rani P. A Speech-Based Hybrid Decision Support System for Early Detection of Parkinson's Disease. Arabian Journal for Science and Engineering 2023;48(2):2247 View
- Maremmani C, Rovini E, Salvadori S, Pecori A, Pasquini J, Ciammola A, Rossi S, Berchina G, Monastero R, Cavallo F. Hands–feet wireless devices: Test–retest reliability and discriminant validity of motor measures in Parkinson's disease telemonitoring. Acta Neurologica Scandinavica 2022;146(3):304 View
- Sarankumar R, Vinod D, Anitha K, Manohar G, Vijayanand K, Pant B, Sundramurthy V, Uddin Z. Severity Prediction over Parkinson’s Disease Prediction by Using the Deep Brooke Inception Net Classifier. Computational Intelligence and Neuroscience 2022;2022:1 View
- Pramanik M, Pradhan R, Nandy P, Qaisar S, Bhoi A, Ahmad S. Assessment of Acoustic Features and Machine Learning for Parkinson’s Detection. Journal of Healthcare Engineering 2021;2021:1 View
- Ngo Q, Motin M, Pah N, Drotár P, Kempster P, Kumar D. Computerized analysis of speech and voice for Parkinson's disease: A systematic review. Computer Methods and Programs in Biomedicine 2022;226:107133 View
- Adams J, Kangarloo T, Tracey B, O’Donnell P, Volfson D, Latzman R, Zach N, Alexander R, Bergethon P, Cosman J, Anderson D, Best A, Severson J, Kostrzebski M, Auinger P, Wilmot P, Pohlson Y, Waddell E, Jensen-Roberts S, Gong Y, Kilambi K, Herrero T, Ray Dorsey E, Adams J, Tarolli C, Soto J, Hogarth P, Wahedi M, Wakeman K, Espay A, Brown J, Wurzelbacher C, Gunzler S, Khawam E, Kilbane C, Spindler M, Engeland M, Tarakad A, Barrett M, Cloud L, Norris V, Mari Z, Wyant K, Chou K, Stovall A, Poon C, Simuni T, Tingling K, Luthra N, Tanner C, Yilmaz E, Romero D, Thomas K, Matson L, Richardson L, Fullard M, Feuerstein J, Shelton E, Shprecher D, Callan M, Feigin A, Romano C, Romain M, Shum M, Botting E, Harrell L, Rocha C, Ramdhani R, Gardner J, Parker G, Ross V, Stephen S, Fisher K, Edgerton J, Cedarbaum J, Rubens R, Padmanabhan J, Stephenson D, Severson B, Merickel M, Amato D, Carroll T. Using a smartwatch and smartphone to assess early Parkinson’s disease in the WATCH-PD study. npj Parkinson's Disease 2023;9(1) View
- Mondol S, Kim R, Lee S. Hybrid Machine Learning Framework for Multistage Parkinson’s Disease Classification Using Acoustic Features of Sustained Korean Vowels. Bioengineering 2023;10(8):984 View
- Idrisoglu A, Dallora A, Anderberg P, Berglund J. Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review. Journal of Medical Internet Research 2023;25:e46105 View
- Hireš M, Drotár P, Pah N, Ngo Q, Kumar D. On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice. International Journal of Medical Informatics 2023;179:105237 View
- Ahmadi H, Huo L, Arji G, Sheikhtaheri A, Zhou S. Early diagnosis of Parkinson’s disease using a hybrid method of least squares support vector regression and fuzzy clustering. Biocybernetics and Biomedical Engineering 2024;44(3):569 View