Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource, 1 online resource.

Language: Englisch

Bibliographic citation: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease ; volume:13 ; number:1 ; day:5 ; month:9 ; year:2023 ; pages:1-22 ; date:12.2023
Scientific reports ; 13, Heft 1 (5.9.2023), 1-22, 12.2023

Creator: Lilhore, Umesh Kumar
Dalal, Surjeet
Faujdar, Neetu
Margala, Martin
Chakrabarti, Prasun
Chakrabarti, Tulika
Simaiya, Sarita
Kumar, Pawan
Thangaraju, Pugazhenthan
Velmurugan, Hemasri

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-023-41314-y

URN: urn:nbn:de:101:1-2023111512114689060377

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:57 AM CEST

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Lilhore, Umesh Kumar
Dalal, Surjeet
Faujdar, Neetu
Margala, Martin
Chakrabarti, Prasun
Chakrabarti, Tulika
Simaiya, Sarita
Kumar, Pawan
Thangaraju, Pugazhenthan
Velmurugan, Hemasri
SpringerLink (Online service)

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Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease

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Other Objects (12)

Author Correction: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease

Retraction Note: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease

Using 3D CNN for classification of Parkinson’s disease from resting-state fMRI data

Quantum mayfly optimization based feature subset selection with hybrid CNN for biomedical Parkinson’s disease diagnosis

Efficient and biologically relevant consensus strategy for Parkinson’s disease gene prioritization

Parkinson

Parkinson

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Air fare sentiment via Backtranslation-CNN-BiLSTM and BERTopic

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Advanced Parkinson’s or “complex phase” Parkinson’s disease? Re-evaluation is needed

Author Correction: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease

Retraction Note: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease

Using 3D CNN for classification of Parkinson’s disease from resting-state fMRI data

Quantum mayfly optimization based feature subset selection with hybrid CNN for biomedical Parkinson’s disease diagnosis

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Retraction Note: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease

Using 3D CNN for classification of Parkinson’s disease from resting-state fMRI data

Quantum mayfly optimization based feature subset selection with hybrid CNN for biomedical Parkinson’s disease diagnosis

Efficient and biologically relevant consensus strategy for Parkinson’s disease gene prioritization

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Tuning attention based long-short term memory neural networks for Parkinson’s disease detection using modified metaheuristics

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