Cargando…
Cardiovascular disease/stroke risk stratification in deep learning framework: a review
The global mortality rate is known to be the highest due to cardiovascular disease (CVD). Thus, preventive, and early CVD risk identification in a non-invasive manner is vital as healthcare cost is increasing day by day. Conventional methods for risk prediction of CVD lack robustness due to the non-...
Autores principales: | Bhagawati, Mrinalini, Paul, Sudip, Agarwal, Sushant, Protogeron, Athanasios, Sfikakis, Petros P., Kitas, George D., Khanna, Narendra N., Ruzsa, Zoltan, Sharma, Aditya M., Tomazu, Omerzu, Turk, Monika, Faa, Gavino, Tsoulfas, George, Laird, John R., Rathore, Vijay, Johri, Amer M., Viskovic, Klaudija, Kalra, Manudeep, Balestrieri, Antonella, Nicolaides, Andrew, Singh, Inder M., Chaturvedi, Seemant, Paraskevas, Kosmas I., Fouda, Mostafa M., Saba, Luca, Suri, Jasjit S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315429/ https://www.ncbi.nlm.nih.gov/pubmed/37405023 http://dx.doi.org/10.21037/cdt-22-438 |
Ejemplares similares
-
A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review
por: Suri, Jasjit S., et al.
Publicado: (2022) -
Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review
por: Suri, Jasjit S., et al.
Publicado: (2022) -
Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report
por: Khanna, Narendra N., et al.
Publicado: (2022) -
COVLIAS 1.0(Lesion) vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans
por: Suri, Jasjit S., et al.
Publicado: (2022) -
Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study
por: Khanna, Narendra N., et al.
Publicado: (2022)