Similarity learning of Parkinsonism elicited from genetics and syndrome for pharmacotherapy decision making

Author:

Hema M.S.,Maheshprabhu R.,Guptha M. Nageswara,Sampathkumar A.,Amudhavel J.

Publisher

Elsevier BV

Subject

General Medicine

Reference28 articles.

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2. E.A. Belalcazar-Bolanos, J.R. Orozco-Arroyave, J.D. Arias-Londono, J.F. Vargas-Bonilla, E. Nöth (2013). Automatic detection of Parkinson's disease using noise measures of speech. In Symposium of Signals, Images and Artificial Vision-2013: STSIVA-2013 (pp. 1-5). IEEE.

3. Feature selection techniques for prediction of neuro-degenerative disorders: a case-study with Alzheimer’s and Parkinson’s disease;Tejeswinee;Procedia Comput. Sci.,2017

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5. K. Revett, F. Gorunescu, A.B.M. Salem (2009). Feature selection in Parkinson's disease: a rough sets approach. In 2009 International Multiconference on Computer Science and Information Technology (pp. 425-428). IEEE.

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1. Prediction of Parkinson Disease using Autoencoder Convolutional Neural Networks;2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC);2022-11-18

2. Identification and Classification of Brain Tumor Using Convolutional Neural Network with Autoencoder Feature Selection;Communications in Computer and Information Science;2022

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