Hybrid deep learning novel framework for classification of parkinson's disease.

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Title: Hybrid deep learning novel framework for classification of parkinson's disease.
Authors: Desai S; Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India., Vora M; Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India., Shah S; Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India., Shah K; Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India., Vyas T; Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India., Nair A; Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India., Chhikaniwala H; Department of Information and Communication Technology, Adani University, Ahmedabad, Gujarat, India., Gajjar P; Department of Computer Science, North Carolina State University, NC, Raleigh, USA., Gupta S; Department of Ophthalmology, Broward Health North, Deerfield Beach, FL, USA.; Department of Technology and Clinical Trials, Advanced Research LLC, Deerfield Beach, USA., Patel RH; Department of Technology and Clinical Trials, Advanced Research LLC, Deerfield Beach, USA. rikipatel26@gmail.com., Sanghvi HA; Department of Information Technology and Operations Management, College of Business, Florida Atlantic University, Boca Raton, USA. hsanghvi2020@fau.edu.
Source: Scientific reports [Sci Rep] 2026 Feb 15; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 15.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-37553-4