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HEARTUP: DIAGNOSING AND MONITORING HEART FAILURE WITH MULTI-MODAL DATA

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dc.contributor.author Atagulov, Ardak
dc.contributor.author Kakimbekov, Daniyar
dc.contributor.author Malikov, Nurbek
dc.contributor.author Moldabayev, Madiyar
dc.date.accessioned 2024-06-13T07:08:44Z
dc.date.available 2024-06-13T07:08:44Z
dc.date.issued 2024-05-04
dc.identifier.citation Atagulov, A. Kakimbekov, D. Malikov, N. Moldabayev, M. (2024). HeartUp: Diagnosing and monitoring heart failure with multi-modal data. Nazarbayev University School of Engineering and Digital Sciences. en_US
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/7846
dc.description.abstract This paper presents HeartUp, an innovative cardiology management system designed to enhance the diagnosis and monitoring of heart failure (HF) conditions, which currently affect 26 million patients worldwide. Heart failure management is often hindered by delayed treatment and insufficient monitoring despite the availability of extensive patient data, leading to severe and sometimes fatal outcomes. HeartUp addresses these challenges by integrating and processing various forms of essential cardiac diagnostic data, including medical forms, heart sound recordings, and electrocardiograms (ECG). The system also evaluates the feasibility of using left ventricular assisting devices (LVADs) for individual patients. LVADs, although beneficial for regulating blood flow, are hampered by high manufacturing and maintenance costs, making their widespread use problematic. HeartUp’s comprehensive management solution leverages multimodal data inputs—such as audio, echocardiography, imaging, and laboratory analyses—to provide cardiologists with a robust tool for assessing patient conditions and making informed decisions regarding the viability of LVAD deployment. By streamlining the storage, processing, and reporting of cardiac health data, HeartUp aims to improve the quality of care and patient outcomes in cardiology by facilitating timely and accurate treatment interventions. en_US
dc.language.iso en en_US
dc.publisher Nazarbayev University School of Engineering and Digital Sciences en_US
dc.rights Attribution-NonCommercial 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc/3.0/us/ *
dc.subject Type of access: Open Access en_US
dc.subject Deep Learning en_US
dc.subject Healthcare Data Science en_US
dc.subject ECG en_US
dc.subject EchoNet Dynamic en_US
dc.subject Echocardiography en_US
dc.title HEARTUP: DIAGNOSING AND MONITORING HEART FAILURE WITH MULTI-MODAL DATA en_US
dc.type Bachelor's thesis en_US
workflow.import.source science


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