Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review

Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review

<b><i>Background and Motivation</i></b>: Parkinson’s disease (PD) is one of the most serious, non-curable, and expensive to treat. Recently, machine learning (ML) has shown to be able to predict cardiovascular/stroke risk in PD patients. The presence of COVID-19 causes the ML...

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Main Authors: Jasjit S. Suri, Mahesh A. Maindarkar, Sudip Paul, Puneet Ahluwalia, Mrinalini Bhagawati, Luca Saba, Gavino Faa, Sanjay Saxena, Inder M. Singh, Paramjit S. Chadha, Monika Turk, Amer Johri, Narendra N. Khanna, Klaudija Viskovic, Sofia Mavrogeni, John R. Laird, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanase D. Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Raghu Kolluri, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Meyypan Sockalingam, Ajit Saxena, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Padukode R. Krishnan, Tomaz Omerzu, Subbaram Naidu, Andrew Nicolaides, Kosmas I. Paraskevas, Mannudeep Kalra, Zoltán Ruzsa, Mostafa M. Fouda
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Diagnostics
Subjects:
Parkinson’s disease
COVID-19
cardiovascular/stroke risk stratification
deep learning
bias
Online Access:https://www.mdpi.com/2075-4418/12/7/1543

Internet

https://www.mdpi.com/2075-4418/12/7/1543

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