Author:
Bhattacharya Ipsita,Bhatia M. P. S.
Cited by
29 articles.
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1. A Comparative Study of Supervised Machine Learning and Deep Learning Techniques with Feature Selection Methods for Classifying Parkinson’s Disease Based on Speech Impairments;2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST);2024-05-15
2. Examining Machine Learning Methods for Accurate Parkinson’s Disease Identification;2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST);2024-04-09
3. Dysphonic Voice Pattern Based Parkinson Disease Detection Using Machine Learning Models;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15
4. Parkinson Disease Classification with Voice Recordings and Convolutional Neural Networks;2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI);2023-12-29
5. An IoT Integrated Machine Learning Approach for Consistent Monitoring and Treatment of Parkinson’s Disease;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01