Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ABSTRACTParkinson’s disease is a worldwide, frequent, neurodegenerative disorder with increasing incidence. Speech disturbance appears during the progression of the disease. The Unified Parkinson’s Disease Rating Scale (UPDRS) is a gold-standard tool for diagnosis and follow-up of the disease.  aim at estimating the UPDRS score based on biomedical voice recordings. In this article,  study the hubness phenomenon in context of the UPDRS score estimation and propose hubness-aware error correction for feedforward neural networks to increase the accuracy of estimation.  perform experiments on publicly available datasets derived from real-voice data and show that the proposed technique systematically increases the accuracy of various feedforward neural networks.
['Krisztian Buza', 'Noémi Ágnes Varga']
I am writing a research paper on a idea ParkinsoNET: Estimation of UPDRS Score Using Hubness-Aware Feedforward Neural Networks
[{"from": "human", "value": "I am writing a research paper on a idea ParkinsoNET: Estimation of UPDRS Score Using Hubness-Aware Feedforward Neural Networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ABSTRACTParkinson\u2019s disease is a worldwide, frequent, neurodegenerative disorder with increasing incidence. Speech disturbance appears during the progression of the disease. The Unified Parkinson\u2019s Disease Rating Scale (UPDRS) is a gold-standard tool for diagnosis and follow-up of the disease.  aim at estimating the UPDRS score based on biomedical voice recordings. In this article,  study the hubness phenomenon in context of the UPDRS score estimation and propose hubness-aware error correction for feedforward neural networks to increase the accuracy of estimation.  perform experiments on publicly available datasets derived from real-voice data and show that the proposed technique systematically increases the accuracy of various feedforward neural networks."}]