Predicting Severity Of Parkinson’s Disease Using Deep Learning

Author:

Grover Srishti,Bhartia Saloni,Akshama ,Yadav Abhilasha,K.R. Seeja

Publisher

Elsevier BV

Subject

General Engineering

Reference15 articles.

1. A comparison of multiple classification methods for diagnosis of Parkinson disease;Das;Expert Systems With Applications,2010

2. Genain N, Huberth M, Vidyashankar R. (2014) “Predicting Parkinson’s Disease Severity from Patient Voice Features.”.

3. UPDRS tracking using linear regression and neural network for Parkinson’s disease prediction.;Benmalek;International Journal Of Emerging Trends & Technology In Computer Science (IJETTCS),2015

4. Dynamical Learning and Tracking of Tremor and Dyskinesia From Wearable Sensors.;Cole;IEEE Transactions On Neural Systems And Rehabilitation Engineering,2014

5. Angeles P, Tai Y, Pavese N, Wilson S, Vaidyanathan R. (2017) “Automated Assessment of Symptom Severity Changes during Deep Brain Stimulation (DBS) Therapy for Parkinson’s Disease.” International Conference On Rehabilitation Robotics (ICORR).

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