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dc.contributor.authorRevathi, T.K.
dc.contributor.authorBalasubramaniam, Sathiyabhama
dc.contributor.authorSureshkumar, Vidhushavarshini
dc.contributor.authorDhanasekaran, Seshathiri
dc.date.accessioned2024-09-10T12:01:50Z
dc.date.available2024-09-10T12:01:50Z
dc.date.issued2024-01-23
dc.description.abstractCardiovascular diseases, prevalent as leading health concerns, demand early diagnosis for effective risk prevention. Despite numerous diagnostic models, challenges persist in network configuration and performance degradation, impacting model accuracy. In response, this paper introduces the Optimally Configured and Improved Long Short-Term Memory (OCI-LSTM) model as a robust solution. Leveraging the Salp Swarm Algorithm, irrelevant features are systematically eliminated, and the Genetic Algorithm is employed to optimize the LSTM’s network configuration. Validation metrics, including the accuracy, sensitivity, specificity, and F1 score, affirm the model’s efficacy. Comparative analysis with a Deep Neural Network and Deep Belief Network establishes the OCI-LSTM’s superiority, showcasing a notable accuracy increase of 97.11%. These advancements position the OCI-LSTM as a promising model for accurate and efficient early diagnosis of cardiovascular diseases. Future research could explore real-world implementation and further refinement for seamless integration into clinical practice.en_US
dc.identifier.citationRevathi, Balasubramaniam, Sureshkumar, Dhanasekaran. An Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Prediction. Diagnostics (Basel). 2024;14(3)en_US
dc.identifier.cristinIDFRIDAID 2249595
dc.identifier.doi10.3390/diagnostics14030239
dc.identifier.issn2075-4418
dc.identifier.urihttps://hdl.handle.net/10037/34653
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.journalDiagnostics (Basel)
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2024 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleAn Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Predictionen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)