Heart failure disease prediction and stratification with temporal electronic health records data using patient representation
Accurate early prediction of heart failure and identification of heart failure sub-phenotypes
can enable in-time interventions and treatments, assist with policy decisions, and lead to a …
can enable in-time interventions and treatments, assist with policy decisions, and lead to a …
Representation of time-varying and time-invariant EMR data and its application in modeling outcome prediction for heart failure patients
Y Huang, M Wang, Z Zheng, M Ma, X Fei, L Wei… - Journal of Biomedical …, 2023 - Elsevier
Objective To represent a patient record with both time-invariant and time-varying features as
a single vector using an end-to-end deep learning model, and further to predict the kidney …
a single vector using an end-to-end deep learning model, and further to predict the kidney …
Heart failure prognosis prediction: Let's start with the MDL-HFP model
H Ma, D Li, J Fu, G Zhao, J Zhao - Information Systems, 2024 - Elsevier
Heart failure, as a critical symptom or terminal stage of assorted heart diseases, is a world-
class public health problem. Establishing a prognostic model can help identify high …
class public health problem. Establishing a prognostic model can help identify high …
[HTML][HTML] Endpoint prediction of heart failure using electronic health records
Background Heart failure (HF) is a serious condition associated with high morbidity and
mortality rates. Effective endpoint prediction in patient treatment trajectories provides …
mortality rates. Effective endpoint prediction in patient treatment trajectories provides …
Risk factor refinement and ensemble deep learning methods on prediction of heart failure using real healthcare records
C Zhou, A Hou, P Dai, A Li, Z Zhang, Y Mu, L Liu - Information Sciences, 2023 - Elsevier
The prediction of heart failure (HF) is crucial in preventing disease progression by
implementing lifestyle changes and pharmacological interventions before the onset of heart …
implementing lifestyle changes and pharmacological interventions before the onset of heart …
Feature rearrangement based deep learning system for predicting heart failure mortality
Abstract Background and objective: Heart Failure is a clinical syndrome commonly caused
by any structural or functional impairment. Fast and accurate mortality prediction for Heart …
by any structural or functional impairment. Fast and accurate mortality prediction for Heart …
Predicting heart failure in-hospital mortality by integrating longitudinal and category data in electronic health records
M Ma, X Hao, J Zhao, S Luo, Y Liu, D Li - Medical & Biological …, 2023 - Springer
Heart failure is a life-threatening syndrome that is diagnosed in 3.6 million people worldwide
each year. We propose a deep fusion learning model (DFL-IMP) that uses time series and …
each year. We propose a deep fusion learning model (DFL-IMP) that uses time series and …
[HTML][HTML] Heart failure classification using deep learning to extract spatiotemporal features from ECG
CJ Zhang, FQ Tang, HP Cai, YF Qian - BMC Medical Informatics and …, 2024 - Springer
Background Heart failure is a syndrome with complex clinical manifestations. Due to
increasing population aging, heart failure has become a major medical problem worldwide …
increasing population aging, heart failure has become a major medical problem worldwide …
Time-aware multi-type data fusion representation learning framework for risk prediction of cardiovascular diseases
Y An, K Tang, J Wang - IEEE/ACM Transactions on …, 2021 - ieeexplore.ieee.org
Predicting the future risk of cardiovascular diseases from the historical Electronic Health
Records (EHRs) is a significant research task in personalized healthcare fields. In recent …
Records (EHRs) is a significant research task in personalized healthcare fields. In recent …
[HTML][HTML] Enhancing heart disease prediction using a self-attention-based transformer model
Cardiovascular diseases (CVDs) continue to be the leading cause of more than 17 million
mortalities worldwide. The early detection of heart failure with high accuracy is crucial for …
mortalities worldwide. The early detection of heart failure with high accuracy is crucial for …