A systematic review of artificial intelligence models for time-to-event outcome applied in cardiovascular disease risk prediction

AB Teshale, HL Htun, M Vered, AJ Owen… - Journal of medical …, 2024 - Springer
Artificial intelligence (AI) based predictive models for early detection of cardiovascular
disease (CVD) risk are increasingly being utilised. However, AI based risk prediction models …

Advanced machine learning techniques for cardiovascular disease early detection and diagnosis

NA Baghdadi, SM Farghaly Abdelaliem, A Malki… - Journal of Big Data, 2023 - Springer
The identification and prognosis of the potential for developing Cardiovascular Diseases
(CVD) in healthy individuals is a vital aspect of disease management. Accessing the …

Deep Learning and Transfer Learning in Cardiology: A Review of Cardiovascular Disease Prediction Models

GS Kumar, P Kumaresan - IEEE Access, 2024 - ieeexplore.ieee.org
Cardiovascular disorders are the primary cause of death on a global scale. The World
Health Organization report indicates that approximately 18 million people die from CVD …

Survival models and longitudinal medical events for hospital readmission forecasting

S Davis, R Greiner - BMC Health Services Research, 2024 - Springer
Background The rate of 30-day all-cause hospital readmissions can affect the funding a
hospital receives. An accurate and reliable readmission prediction model could save money …

[HTML][HTML] A one-dimensional convolutional neural network-based deep learning approach for predicting cardiovascular diseases

DG Honi, L Szathmary - Informatics in Medicine Unlocked, 2024 - Elsevier
Early detection of cardiovascular diseases (CVDs) is crucial for managing cardiovascular
diseases and improving patient outcomes. Deep neural networks have the potential to …

Survival Prediction Landscape: An In-Depth Systematic Literature Review on Activities, Methods, Tools, Diseases, and Databases

AF Abbasi, MN Asim, S Ahmed, S Vollmer, A Dengel - medRxiv, 2024 - medrxiv.org
Survival prediction integrates patient-specific molecular information and clinical signatures
to forecast the anticipated time of an event, such as recurrence, death, or disease …

[HTML][HTML] The centre for health informatics: a novel approach to accelerating the field of health data science

DA Southern, CA Eastwood… - … of Population Data …, 2024 - pmc.ncbi.nlm.nih.gov
Precision Medicine and Precision Public Health are approaches to improve population
health. Achieving these goals requires innovation in health informatics. The Centre for …

Learning Individual Readmission-Free Survival Distributions using Longitudinal Medical Events

SSM Davis - 2023 - era.library.ualberta.ca
The rate of 30-day hospital readmission is a common measurement of hospital quality,
which can affect the funding a hospital receives. Over a quarter of readmissions are …