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Record #66437

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

Original paper date
Sep 5, 2023
Institution
Department of Computer Science and Engineering, Chandigarh University, Chandigarh, Punjab, India · Amity School of Engineering and Technology, Amity University Haryana, Gurugram, India · Department of Computer Engineering and Application, GLA University, Mathura, Uttar Pradesh, India · School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, USA · Department of Computer Science and Engineering, Sir Padampat Singhania University, Udaipur, 313601, Rajasthan, India · Sir Padampat Singhania University, Udaipur, Rajasthan, India · Apex Institute of Technology, Department of Computer Science and Engineering, Chandigarh University, Mohali, Punjab, India · College of Computing Sciences & IT, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India · Department of Pharmacology, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India · Department of Pharmacology, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India
Open access
No
Article type
Research Article
Broad categories
(B/T) Data Science(B/T) Technology(HSC) Medicine - Neurology
Notes from Retraction Watch

See also: https://pubpeer.com/publications/BE2E334302A3B028B84D49A35C44B1

Citation lifecycle

How this paper is being cited

Pre-retraction
34
Same day
0
Post-retraction
21
% post-retraction
38.2%
~28.9 citations/yr before retraction · ~11.3 citations/yr after
— citing papers

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