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Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review
Metabolites, 12 (2022), 312; 1-30. https://doi.org/10.3390/metabo12040312
Suri, Jasjit S; Paul, Sudip; Maindarkar, Maheshrao A; Puvvula, Anudeep; Saxena, Sanjay; Saba, Luca; Turk, Monika; R. Laird, John; N. Khanna, Narendra; Viskovic, Klaudija; M. Singh, Inder; Kalra, Mannudeep; R. Krishnan, Padukode; Johri, Amer; I. Paraskevas, Kosmas Više autora...

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Suri, J. S., Paul, S., Maindarkar, M. A., Puvvula, A., Saxena, S., Saba, L. ... I. Paraskevas, K. (2022). Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review. Metabolites, 12. (312), 1-30. doi: 10.3390/metabo12040312

Suri, Jasjit S, et al. "Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review." Metabolites, vol. 12, br. 312, 2022, str. 1-30. https://doi.org/10.3390/metabo12040312

Suri, Jasjit S, Sudip Paul, Maheshrao A Maindarkar, Anudeep Puvvula, Sanjay Saxena, Luca Saba, Monika Turk, et al. "Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review." Metabolites 12, br. 312 (2022): 1-30. https://doi.org/10.3390/metabo12040312

Suri, J. S., et al. (2022) 'Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review', Metabolites, 12(312), str. 1-30. doi: 10.3390/metabo12040312

Suri JS, Paul S, Maindarkar MA, Puvvula A, Saxena S, Saba L, i sur.. Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review. Metabolites [Internet]. 31.03.2022. [pristupljeno 09.11.2024.];12(312):1-30. doi: 10.3390/metabo12040312

J. S. Suri, et al., "Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review", Metabolites, vol. 12, br. 312, str. 1-30, Ožujak 2022. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:184:582450. [Citirano: 09.11.2024.]

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Naslov (engleski)Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review
AutorJasjit S Suri
AutorSudip Paul
AutorMaheshrao A Maindarkar
AutorAnudeep Puvvula
AutorSanjay Saxena
AutorLuca Saba
AutorMonika Turk
AutorJohn R. Laird
AutorNarendra N. Khanna
AutorKlaudija Viskovic
AutorInder M. Singh
AutorMannudeep Kalra
AutorPadukode R. Krishnan
AutorAmer Johri
AutorKosmas I. Paraskevas
Autorova ustanovaSveučilište u Rijeci
Fakultet zdravstvenih studija
(Katedra za laboratorijsku i radiološku dijagnostiku)
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Kliničke medicinske znanosti
Interna medicina
Sažetak (engleski)
Abstract: Parkinson’s disease (PD) is a severe, incurable, and costly condition leading to heart failure. The link between PD and cardiovascular disease (CVD) is not available, leading to controversies and poor prognosis. Artificial Intelligence (AI) has already shown promise for CVD/stroke risk stratification. However, due to a lack of sample size, comorbidity, insufficient validation, clinical examination, and a lack of big data configuration, there have been no well-explained bias-free AI investigations to establish the CVD/Stroke risk stratification in the PD framework. The study has two objectives: (i) to establish a solid link between PD and CVD/stroke; and (ii) to use the AI paradigm to examine a well-defined CVD/stroke risk stratification in the PD framework. The PRISMA search strategy selected 223 studies for CVD/stroke risk, of which 54 and 44 studies were related to the link between PD-CVD, and PD-stroke, respectively, 59 studies for joint PD-CVD-Stroke framework, and 66 studies were only for the early PD diagnosis without CVD/stroke link. Sequential biological links were used for establishing the hypothesis. For AI design, PD risk factors as covariates along with CVD/stroke as the gold standard were used for predicting the CVD/stroke risk. The most fundamental cause of CVD/stroke damage due to PD is cardiac autonomic dysfunction due to neurodegeneration that leads to heart failure and its edema, and this validated our hypothesis. Finally, we present the novel AI solutions for CVD/stroke risk prediction in the PD framework. The study also recommends strategies for removing the bias in AI for CVD/stroke risk prediction using the PD framework.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaMetabolites
Brojčani podacivol. 12, br. 312, str. 1-30
p-ISSN2218-1989
DOIhttps://doi.org/10.3390/metabo12040312
URN:NBNurn:nbn:hr:184:582450
Datum objave publikacije2022-03-31
URL dokumentahttps://www.mdpi.com/journal/metabolites
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2023-07-06 10:58:43