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CEP4HFP: Complex Event Processing for Heart Failure Prediction

https://doi.org/10.1109/tnb.2017.2769671
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-21222-2_50openalex-snapshot
A Hybrid Artificial Intelligence System for Assistance in Remote Monitoring of Heart Patients
inferredcites →https://doi.org/10.1007/s10916-011-9733-yopenalex-snapshot
A Remote Patient Monitoring System for Congestive Heart Failure
inferredcites →https://doi.org/10.1016/j.compchemeng.2011.05.004openalex-snapshot
A sustainability root cause analysis methodology and its application
inferredcites →https://doi.org/10.1016/s0005-7894(71)80129-6openalex-snapshot
Handbook in research and evaluation
inferredcites →https://doi.org/10.1097/ccm.0b013e31820a92c6openalex-snapshot
Multiparameter Intelligent Monitoring in Intensive Care II: A public-access intensive care unit database*
inferredcites →https://doi.org/10.1109/cbms.2006.128openalex-snapshot
Personal Heart Monitoring System Using Smart Phones To Detect Life Threatening Arrhythmias
inferredcites →https://doi.org/10.1109/eco-friendly.2014.88openalex-snapshot
Complex Event Processing Based Remote Health Monitoring System
inferredcites →https://doi.org/10.1109/healthcom.2015.7454584openalex-snapshot
Healthcare event aggregation lab (HEAL), a knowledge sharing platform for anomaly detection and prediction
inferredcites →https://doi.org/10.1109/iceccs.2014.88openalex-snapshot
Complex Event Processing Based Remote Health Monitoring System
inferredcites →https://doi.org/10.1109/icrtit.2012.6206847openalex-snapshot
Multi-sensor based in-home health monitoring using Complex Event Processing
inferredcites →https://doi.org/10.1109/iembs.2007.4353164openalex-snapshot
A Fusion Health Monitoring Using ECG and Accelerometer sensors for Elderly Persons at Home
inferredcites →https://doi.org/10.1109/tim.2012.2218681openalex-snapshot
Sensing Devices and Sensor Signal Processing for Remote Monitoring of Vital Signs in CHF Patients
inferredcites →https://doi.org/10.1109/titb.2004.837888openalex-snapshot
AMON: A Wearable Multiparameter Medical Monitoring and Alert System
inferredcites →https://doi.org/10.1155/2014/490824openalex-snapshot
PhysioDroid: Combining Wearable Health Sensors and Mobile Devices for a Ubiquitous, Continuous, and Personal Monitoring
inferredcites →https://doi.org/10.1155/2015/373474openalex-snapshot
A Real-Time Health Monitoring System for Remote Cardiac Patients Using Smartphone and Wearable Sensors

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Early Detection of Cardiac Disease Using Machine Learning
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Artificial Intelligence Based Commercial Non‐Invasive and Invasive Devices for Heart Failure Diagnosis and Prediction
inferred← citeshttps://doi.org/10.1007/978-3-030-22999-3_2openalex-snapshot
A Taxonomy of Event Prediction Methods
inferred← citeshttps://doi.org/10.1007/978-3-030-32150-5_115openalex-snapshot
Heart Disease Detection Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-031-86299-1_25openalex-snapshot
Engaging Coronary Heart Disease Prediction (Vein) Through Feature U-Net Improvement with Ensemble Learning Based Hybrid Bagging and Boosting Techniques
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Compliance Management in Business Processes
inferred← citeshttps://doi.org/10.1007/978-981-15-5566-4_42openalex-snapshot
A Predictive Analysis for Heart Disease Using Machine Learning
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Design of ear-contactless stethoscope and improvement in the performance of deep learning based on CNN to classify the heart sound
inferred← citeshttps://doi.org/10.1007/s11831-024-10075-wopenalex-snapshot
An Extensive Review of Machine Learning and Deep Learning Techniques on Heart Disease Classification and Prediction
inferred← citeshttps://doi.org/10.1007/s11831-025-10271-2openalex-snapshot
A Systematic Review on Machine Learning Intelligent Systems for Heart Disease Diagnosis
inferred← citeshttps://doi.org/10.1007/s40747-024-01742-3openalex-snapshot
RL4CEP: reinforcement learning for updating CEP rules
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Integrating technological solutions into innovative eHealth applications
inferred← citeshttps://doi.org/10.1016/j.artmed.2022.102421openalex-snapshot
Adaptive and personalized user behavior modeling in complex event processing platforms for remote health monitoring systems
inferred← citeshttps://doi.org/10.1016/j.bspc.2023.104707openalex-snapshot
Heart disease prediction using hybrid optimization enabled deep learning network with spark architecture
inferred← citeshttps://doi.org/10.1016/j.compbiolchem.2025.108394openalex-snapshot
A survey on open challenges in heart disease prediction models
inferred← citeshttps://doi.org/10.1016/j.future.2022.06.017openalex-snapshot
An Intelligent Collaboration Framework of Iot Applications Based on Event Logic Graph
inferred← citeshttps://doi.org/10.1016/j.imu.2020.100402openalex-snapshot
An improved ensemble learning approach for the prediction of heart disease risk
inferred← citeshttps://doi.org/10.1016/j.mehy.2020.110072openalex-snapshot
Heart disease prediction using hybrid fuzzy K-medoids attribute weighting method with DBN-KELM based regression model
inferred← citeshttps://doi.org/10.1016/j.scs.2024.105609openalex-snapshot
Rule based complex event processing for an air quality monitoring system in smart city
inferred← citeshttps://doi.org/10.1038/s41598-025-90530-1openalex-snapshot
An extensive experimental analysis for heart disease prediction using artificial intelligence techniques
inferred← citeshttps://doi.org/10.1051/e3sconf/202017003008openalex-snapshot
Analysis and Examination of Heart distress from ECG signal using Artificial Intelligence.
inferred← citeshttps://doi.org/10.1080/10255842.2025.2525981openalex-snapshot
Multi-cascaded heart disease prediction using hybrid deep learning and optimization techniques.
inferred← citeshttps://doi.org/10.1109/access.2024.3385787openalex-snapshot
Detecting and Classifying Myocardial Infarction in Echocardiogram Frames With an Enhanced CNN Algorithm and ECV-3D Network
inferred← citeshttps://doi.org/10.1109/cybermatics_2018.2018.00064openalex-snapshot
MCEP: A Mobile Device Based Complex Event Processing System for Remote Healthcare
inferred← citeshttps://doi.org/10.1109/emergin67762.2025.11450786openalex-snapshot
Ensemble Supervised Learning for Improving Prediction Accuracy in Diagnosing Cardiovascular Disease
inferred← citeshttps://doi.org/10.1109/gcat55367.2022.9971877openalex-snapshot
Complex Event driven data analysis approach in fog architecture based Smart healthcare
inferred← citeshttps://doi.org/10.1109/icces45898.2019.9002054openalex-snapshot
Retracted: Heart Disease Predictions Using Numerous Classification Techniques and Dynamic LSTM Model
inferred← citeshttps://doi.org/10.1109/iccke54056.2021.9721525openalex-snapshot
Intelligent Rule Extraction in Complex Event Processing Platform for Health Monitoring Systems
inferred← citeshttps://doi.org/10.1109/icetea64585.2025.11100101openalex-snapshot
Enhanced Heart Disease Detection using Hyperparameter-Tuned Random Forest Ensemble Method
inferred← citeshttps://doi.org/10.1109/icicict54557.2022.9917678openalex-snapshot
Heart Disease Prediction Using XGBoost
inferred← citeshttps://doi.org/10.1109/icrito51393.2021.9596228openalex-snapshot
A Modern Comparison of ML Algorithms for Cardiovascular Disease Prediction
inferred← citeshttps://doi.org/10.1109/ojim.2023.3320765openalex-snapshot
Conv-Random Forest-Based IoT: A Deep Learning Model Based on CNN and Random Forest for Classification and Analysis of Valvular Heart Diseases
inferred← citeshttps://doi.org/10.1109/sceecs61402.2024.10482231openalex-snapshot
Combination of Artificial Intelligence Techniques to Predict Cardiovascular Disease
inferred← citeshttps://doi.org/10.1109/tnb.2018.2870331openalex-snapshot
Cardiac Conduction Model for Generating 12 Lead ECG Signals With Realistic Heart Rate Dynamics
inferred← citeshttps://doi.org/10.1155/2022/2144597openalex-snapshot
Key Technology of Internet of Things Middleware and Computer Event Matching Algorithm
inferred← citeshttps://doi.org/10.1166/jmihi.2022.3940openalex-snapshot
A Novel Machine Learning Based Probabilistic Classification Model for Heart Disease Prediction
inferred← citeshttps://doi.org/10.14445/23488379/ijeee-v11i12p135openalex-snapshot
Improved Stochastic Gradient Descent-Decision Tree (ISGD-DT) Framework for Intelligent Heart Disease Prediction
inferred← citeshttps://doi.org/10.1515/bams-2020-0069openalex-snapshot
An integrated review on machine learning approaches for heart disease prediction: Direction towards future research gaps
inferred← citeshttps://doi.org/10.18280/isi.240305openalex-snapshot
Robust Cluster-then-label (RCTL) Approach for Heart Disease Prediction
inferred← citeshttps://doi.org/10.18517/ijaseit.8.4.5183openalex-snapshot
A Review on Complex Event Processing in RFID System
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3988577/v1openalex-snapshot
Detecting and Classifying Myocardial Infarction in Echocardiogram Frames with an Enhanced CNN Algorithm and ECV-3D Network
inferred← citeshttps://doi.org/10.22215/etd/2018-13383openalex-snapshot
An Edge Computing-Based Complex Event Processing Technique for Sensor-Based Systems
inferred← citeshttps://doi.org/10.32628/cseit2390222openalex-snapshot
Using an Adapted Hybrid Intelligent Framework to Make Predictions Regarding Heart Diseases
inferred← citeshttps://doi.org/10.3390/e20120923openalex-snapshot
A Bayesian Failure Prediction Network Based on Text Sequence Mining and Clustering
inferred← citeshttps://doi.org/10.3390/electronics10192347openalex-snapshot
Improved Heart Disease Prediction Using Particle Swarm Optimization Based Stacked Sparse Autoencoder
inferred← citeshttps://doi.org/10.34256/ijcci1919openalex-snapshot
Patient Monitoring and Abnormality Detection Along with an Android Application
inferred← citeshttps://doi.org/10.3844/jcssp.2020.105.116openalex-snapshot
An Analysis of Heart Disease for Diabetic Patients Using Recursive Feature Elimination with Random Forest
inferred← citeshttps://doi.org/10.4015/s1016237224500169openalex-snapshot
MA-LSTMNet: AN EFFICIENT MULTISCALE ATTENTION LSTMNet-BASED HEART DISEASE PREDICTION FRAMEWORK WITH IoT DEVICES INCORPORATING HYBRID RAT SWARM-RED DEER ALGORITHM
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