Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Applying an Improved Stacking Ensemble Model to Predict the Mortality of ICU Patients with Heart Failure
Chih‐Chou Chiu, Chung-Min Wu, Te-Nien Chien, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 21, pp. 6460-6460
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Explainable Mortality Prediction Model for Congestive Heart Failure with Nature-Based Feature Selection Method
Nusrat Tasnim, Shamim Al Mamun, Mohammad Shahidul Islam, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6138-6138
Open Access | Times Cited: 15
Cardiac disease prediction using AI algorithms with SelectKBest
Mariwan Hama Saeed, Jihad Ibrahim Hama
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 12, pp. 3397-3408
Closed Access | Times Cited: 14
Machine learning to identify a composite indicator to predict cardiac death in ischemic heart disease
Alessandro Pingitore, Chenxiang Zhang, Cristina Vassalle, et al.
International Journal of Cardiology (2024) Vol. 404, pp. 131981-131981
Open Access | Times Cited: 5
Prediction of In-Hospital Mortality for ICU Patients with Heart Failure
Jiahong Zhang, Hexin Li, Negin Ashrafi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 5
Heart Failure Emergency Readmission Prediction Using Stacking Machine Learning Model
Md. Sohanur Rahman, Hasib Rahman, Johayra Prithula, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1948-1948
Open Access | Times Cited: 11
Construction of the machine learning-based live birth prediction models for the first in vitro fertilization pregnant women
Xiaoyan Liu, Zhiyun Chen, Yanqin Ji
BMC Pregnancy and Childbirth (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 11
Prediction of clinical efficacy of acupuncture intervention on upper limb dysfunction after ischemic stroke based on machine learning: a study driven by DSA diagnostic reports data
Yaning Liu, Yuqi Tang, Zechen Li, et al.
Frontiers in Neurology (2025) Vol. 15
Open Access
A three-stage eccDNA based molecular profiling significantly improves the identification, prognosis assessment and recurrence prediction accuracy in patients with glioma
Ze‐Sheng Li, Wei Wang, Hao Liang, et al.
Cancer Letters (2023) Vol. 574, pp. 216369-216369
Closed Access | Times Cited: 10
Grey wolf optimized stacked ensemble machine learning based model for enhanced efficiency and reliability of predicting early heart disease
Geetha Narasimhan, Akila Victor
Automatika (2024) Vol. 65, Iss. 3, pp. 749-762
Open Access | Times Cited: 2
Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier
Mohammad Maftoun, Javad Hassannataj Joloudari, Omid Zare, et al.
Lecture notes in computer science (2024), pp. 68-77
Closed Access | Times Cited: 2
Prediction of 28-day all-cause mortality in heart failure patients with Clostridioides difficile infection using machine learning models: evidence from the MIMIC-IV database
Caiping Shi, Qiong Jie, Hongsong Zhang, et al.
Cardiology (2024), pp. 1-1
Closed Access | Times Cited: 2
Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3
Md. Sohanur Rahman, Khandaker Reajul Islam, Johayra Prithula, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
A stacked machine learning-based classification model for endometriosis and adenomyosis: a retrospective cohort study utilizing peripheral blood and coagulation markers
Weiying Wang, Weiwei Zeng, Sen Yang
Frontiers in Digital Health (2024) Vol. 6
Open Access | Times Cited: 2
Early prediction of MODS interventions in the intensive care unit using machine learning
Chang Liu, Zhenjie Yao, Pengfei Liu, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 4
Analysis and prediction of infectious diseases based on spatial visualization and machine learning
Yunyun Cheng, Yanping Bai, Jing Yang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Predicting the risk of mortality in ICU patients based on dynamic graph attention network of patient similarity
Manfu Ma, Penghui Sun, Yong Li, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 8, pp. 15326-15344
Open Access | Times Cited: 2
Development of a Novel Risk Score for Predicting One-Year Mortality Risk in Patients with Atrial Fibrillation using XGBoost-Assisted Feature Selection
Bin Wang, Feifei Jin, Han Cao, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Detecting Need-Attention Patients using Machine Learning
Theng Jia Law, Choo‐Yee Ting, Helmi Zakariah
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 2, pp. 803-803
Open Access
Integrating Structured and Unstructured Data with BERTopic and Machine Learning: A Comprehensive Predictive Model for Mortality in ICU Heart Failure Patients
Shih‐Wei Wu, Chengcheng Li, Te-Nien Chien, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7546-7546
Open Access
Classification Of Heart Diseases with Ensemble Learning Algorithms
Kenan Erdem, Elham Tahsin Yasin, Müslüme Beyza Yıldız, et al.
Sinop Üniversitesi Fen Bilimleri Dergisi (2024)
Open Access
Predicting in-hospital mortality in patients with heart failure combined with atrial fibrillation using stacking ensemble model: an analysis of the medical information mart for intensive care IV (MIMIC-IV)
Panpan Chen, Jun-hua Sun, Yingjie Chu, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access
Prediction of in-hospital death in heart failure patients based on improved Stacking modeling
Manfu Ma, Ruigen Zhang, Yong Li
(2024), pp. 308-313
Closed Access
Machine Learning and Causal Approaches to Predict Readmissions and Its Economic Consequences Among Canadian Patients With Heart Disease: Retrospective Study
Ethan Rajkumar, Kevin Mekhaphan Nguyen, Sandra Radic, et al.
JMIR Formative Research (2023) Vol. 7, pp. e41725-e41725
Open Access | Times Cited: 1
Comprehensive performance assessment of Multi-neural ensemble model for mortality prediction in ICU
Fathima Begum M, Subhashini Narayan
IEEE Access (2023), pp. 1-1
Open Access | Times Cited: 1
Multi-Organ Failure Prediction using Machine Learning Approach
G. S. Madhan Kumar, V P Impanashree, N. Manjunath, et al.
International Journal of Scientific Research in Science and Technology (2023), pp. 19-24
Open Access
Page 1 - Next Page

Scroll to top