Cargando…

Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning

BACKGROUND: Heart failure (HF) is a major complication following ischemic heart disease (IHD) and it adversely affects the outcome. Early prediction of HF risk in patients with IHD is beneficial for timely intervention and for reducing disease burden. METHODS: Two cohorts, cases for patients first d...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhou, Dejia, Qiu, Hang, Wang, Liya, Shen, Minghui
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207812/ https://www.ncbi.nlm.nih.gov/pubmed/37221512 http://dx.doi.org/10.1186/s12911-023-02196-2

Ejemplares similares

Phenotypic Disease Network Analysis to Identify Comorbidity Patterns in Hospitalized Patients with Ischemic Heart Disease Using Large-Scale Administrative Data
por: Zhou, Dejia, et al.
Publicado: (2022)

Applying an Improved Stacking Ensemble Model to Predict the Mortality of ICU Patients with Heart Failure
por: Chiu, Chih-Chou, et al.
Publicado: (2022)

Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission
por: Hu, Zhixu, et al.
Publicado: (2022)

Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning
por: Lu, Xiaoya, et al.
Publicado: (2023)

Stacking ensemble learning model to predict 6-month mortality in ischemic stroke patients
por: Hwangbo, Lee, et al.
Publicado: (2022)

Heart Failure Emergency Readmission Prediction Using Stacking Machine Learning Model
por: Rahman, Md. Sohanur, et al.
Publicado: (2023)

A Stacking Ensemble Learning Framework for Genomic Prediction
por: Liang, Mang, et al.
Publicado: (2021)

Author Correction: Stacking ensemble learning model to predict 6-month mortality in ischemic stroke patients
por: Hwangbo, Lee, et al.
Publicado: (2022)

StackBRAF: A Large-Scale Stacking Ensemble Learning for BRAF Affinity Prediction
por: Syahid, Nur Fadhilah, et al.
Publicado: (2023)

An R package for ensemble learning stacking
por: Nukui, Taichi, et al.
Publicado: (2023)

Link Prediction in Complex Networks Using Recursive Feature Elimination and Stacking Ensemble Learning
por: Wang, Tao, et al.
Publicado: (2022)

The Comprehensive Machine Learning Analytics for Heart Failure
por: Guo, Chao-Yu, et al.
Publicado: (2021)

Efficacy prediction of noninvasive ventilation failure based on the stacking ensemble algorithm and autoencoder
por: Liang, Na, et al.
Publicado: (2022)

Rumen Fermentation Parameters Prediction Model for Dairy Cows Using a Stacking Ensemble Learning Method
por: Wang, Yuxuan, et al.
Publicado: (2023)

SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learning
por: Xu, Jing, et al.
Publicado: (2020)

Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework
por: Charoenkwan, Phasit, et al.
Publicado: (2022)

Stacked ensemble machine learning for porosity and absolute permeability prediction of carbonate rock plugs
por: Kalule, Ramanzani, et al.
Publicado: (2023)

Stack-VTP: prediction of vesicle transport proteins based on stacked ensemble classifier and evolutionary information
por: Chen, Yu, et al.
Publicado: (2023)

Ensemble Learning Based on Hybrid Deep Learning Model for Heart Disease Early Prediction
por: Almulihi, Ahmed, et al.
Publicado: (2022)

StackEPI: identification of cell line-specific enhancer–promoter interactions based on stacking ensemble learning
por: Fan, Yongxian, et al.
Publicado: (2022)

Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction
por: Abdollahi, Jafar, et al.
Publicado: (2022)

Mortality prediction in ICU Using a Stacked Ensemble Model
por: Ren, Na, et al.
Publicado: (2022)

STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction
por: Basith, Shaherin, et al.
Publicado: (2021)

SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins
por: Ahmad, Saeed, et al.
Publicado: (2022)

Stacking Ensemble-Based Intelligent Machine Learning Model for Predicting Post-COVID-19 Complications
por: Gupta, Aditya, et al.
Publicado: (2021)

MFDroid: A Stacking Ensemble Learning Framework for Android Malware Detection
por: Wang, Xusheng, et al.
Publicado: (2022)

Heart Failure in Acute Ischemic Stroke
por: Cuadrado-Godia, Elisa, et al.
Publicado: (2010)

Sex differences in ischemic heart disease and heart failure biomarkers
por: Sobhani, Kimia, et al.
Publicado: (2018)

Prediction of the Critical Temperature of Superconductors Based on Two-Layer Feature Selection and the Optuna-Stacking Ensemble Learning Model
por: Yu, Jiahao, et al.
Publicado: (2023)

Ensemble Learning for AI Developers: Learn Bagging, Stacking, and Boosting Methods with Use Cases
por: Kumar, Alok
Publicado: (2020)

Using an innovative stacked ensemble algorithm for the accurate prediction of preterm birth
por: Ramalingam, Pari, et al.
Publicado: (2019)

An Empirical Model to Predict the Diabetic Positive Using Stacked Ensemble Approach
por: R., Sivashankari, et al.
Publicado: (2022)

Non-Fatal Drowning Risk Prediction Based on Stacking Ensemble Algorithm
por: Xie, Xinshan, et al.
Publicado: (2022)

Predicting inflation component drivers in Nigeria: a stacked ensemble approach
por: Akande, Emmanuel O., et al.
Publicado: (2022)

A Snapshot-Stacked Ensemble and Optimization Approach for Vehicle Breakdown Prediction
por: Khoshkangini, Reza, et al.
Publicado: (2023)

Evaluation of the Nallasamy formula: a stacking ensemble machine learning method for refraction prediction in cataract surgery
por: Li, Tingyang, et al.
Publicado: (2023)

StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens
por: Charoenkwan, Phasit, et al.
Publicado: (2023)

Ischemic Heart Disease and Heart Failure: Role of Coronary Ion Channels
por: Severino, Paolo, et al.
Publicado: (2020)

Decoding Electroencephalography Signal Response by Stacking Ensemble Learning and Adaptive Differential Evolution
por: Ribeiro, Matheus Henrique Dal Molin, et al.
Publicado: (2023)

Brain Tumor Classification based on Improved Stacked Ensemble Deep Learning Methods
por: Al-Azzwi, Zobeda Hatif Naji, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_hiuhl9vh900dtv5j45ivlu7skc