Machine Learning Assisted Binary and Multiclass Parkinson's Disease Detection

Author:

Bhardwaj Satyankar,Arora Dhruv,Devi Bali,Shankar Venkatesh Gauri,Srivastava Sumit

Publisher

Springer Nature Singapore

Reference23 articles.

1. V.G. Shankar, D.S. Sisodia, P. Chandrakar, DataAutism: an early detection framework of autism in infants using data science, in Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, ed. by N. Sharma, A. Chakrabarti, V. Balas, vol. 1016 (Springer, Singapore, 2020). https://doi.org/10.1007/978-981-13-9364-8_13

2. B. Devi, V.G. Shankar, S. Srivastava, D.K. Srivastava, AnaBus: a proposed sampling retrieval model for business and historical data analytics, in Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, ed. by N. Sharma, A. Chakrabarti, V. Balas, vol. 1016 (Springer, Singapore, 2020). https://doi.org/10.1007/978-981-13-9364-8_14

3. V.G. Shankar, D.S. Sisodia, P. Chandrakar, A novel discriminant feature selection–based mutual information extraction from MR brain images for Alzheimer's stages detection and prediction. Int. J. Imag. Syst. Technol. 1–20 (2021). https://doi.org/10.1002/ima.22685

4. B. Devi, S. Srivastava, V.K. Verma, Predictive analysis of Alzheimer’s disease based on wrapper approach using SVM and KNN, in Information and Communication Technology for Intelligent Systems. ICTIS 2020. Smart Innovation, Systems and Technologies, vol. 196, ed. by T. Senjyu, P.N. Mahalle, T. Perumal, A. Joshi (Springer, Singapore, 2021). https://doi.org/10.1007/978-981-15-7062-9_71

5. G. Pahuja, T.N. Nagabhushan, A novel GA-ELM approach for Parkinson's disease detection using Brain Structural T1-weighted MRI Data, in 2016 Second International Conference on Cognitive Computing and Information Processing (2016)

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