相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Machine learning-based risk model using 123I-metaiodobenzylguanidine to differentially predict modes of cardiac death in heart failure
Kenichi Nakajima et al.
JOURNAL OF NUCLEAR CARDIOLOGY (2022)
Machine learning improves mortality risk prediction after cardiac surgery Systematic review and meta-analysis
Umberto Benedetto et al.
JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY (2022)
Acute heart failure
Lauren Sinnenberg et al.
TRENDS IN CARDIOVASCULAR MEDICINE (2020)
Improving risk prediction in heart failure using machine learning
Eric D. Adler et al.
EUROPEAN JOURNAL OF HEART FAILURE (2020)
Evaluating risk prediction models for adults with heart failure: A systematic literature review
Gian Luca Di Tanna et al.
PLOS ONE (2020)
Acute heart failure
Mattia Arrigo et al.
NATURE REVIEWS DISEASE PRIMERS (2020)
A Machine Learning Approach to Management of Heart Failure Populations
Linyuan Jing et al.
JACC-HEART FAILURE (2020)
Predicting High-Risk Patients and High-Risk Outcomes in Heart Failure
Ramsey M. Wehbe et al.
HEART FAILURE CLINICS (2020)
Decompensation in Critical Care: Early Prediction of Acute Heart Failure Onset
Patrick Essay et al.
JMIR MEDICAL INFORMATICS (2020)
Impact of brain natriuretic peptide reduction on the worsening renal function in patients with acute heart failure
Kenji Yoshioka et al.
PLOS ONE (2020)
Multi-modality machine learning approach for risk stratification in heart failure with left ventricular ejection fraction ≤ 45%
Gary Tse et al.
ESC HEART FAILURE (2020)
ACUTE Heart Failure Risk Stratification A Step Closer to the Holy Grail?
Sean P. Collins et al.
CIRCULATION (2019)
A clinically applicable approach to continuous prediction of future acute kidney injury
Nenad Tomasev et al.
NATURE (2019)
Artificial intelligence algorithm for predicting mortality of patients with acute heart failure
Joon-Myoung Kwon et al.
PLOS ONE (2019)
Clinical profiles in acute heart failure: an urgent need for a new approach
Brittany Chapman et al.
ESC HEART FAILURE (2019)
Artificial Intelligence: Practical Primer for Clinical Research in Cardiovascular Disease
Nobuyuki Kagiyama et al.
JOURNAL OF THE AMERICAN HEART ASSOCIATION (2019)
Prospective Validation of the Emergency Heart Failure Mortality Risk Grade for Acute Heart Failure The ACUTE Study
Douglas S. Lee et al.
CIRCULATION (2019)
Machine learning-based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics
Saqib Ejaz Awan et al.
ESC HEART FAILURE (2019)
Diagnosis of Acute Heart Failure in the Emergency Department: An Evidence-Based Review
Brit Long et al.
WESTERN JOURNAL OF EMERGENCY MEDICINE (2019)
Lessons learned in acute heart failure
Baljash Cheema et al.
EUROPEAN JOURNAL OF HEART FAILURE (2018)
Time trends in characteristics, clinical course, and outcomes of 13,791 patients with acute heart failure
Pere Llorens et al.
CLINICAL RESEARCH IN CARDIOLOGY (2018)
Acute Heart Failure in the Emergency Department: Respiratory Rate as a Risk Predictor
Eftychios Siniorakis et al.
IN VIVO (2018)
Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease
Andrew J. Steele et al.
PLOS ONE (2018)
Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis
Manish Motwani et al.
EUROPEAN HEART JOURNAL (2017)
Creation and validation of the acute heart failure risk score: AHFRS
Susana Garcia-Gutierrez et al.
INTERNAL AND EMERGENCY MEDICINE (2017)
Prediction of 30-Day All-Cause Readmissions in Patients Hospitalized for Heart Failure Comparison of Machine Learning and Other Statistical Approaches
Jarrod D. Frizzell et al.
JAMA CARDIOLOGY (2017)
Can machine-learning improve cardiovascular risk prediction using routine clinical data?
Stephen F. Weng et al.
PLOS ONE (2017)
Prognostic value of short-term follow-up BNP in hospitalized patients with heart failure
Sayma Sabrina Khanam et al.
BMC CARDIOVASCULAR DISORDERS (2017)
Analysis of Machine Learning Techniques for Heart Failure Readmissions
Bobak J. Mortazavi et al.
CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES (2016)
Analysis of Machine Learning Techniques for Heart Failure Readmissions
Bobak J. Mortazavi et al.
CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES (2016)
Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach
Thomas Desautels et al.
JMIR MEDICAL INFORMATICS (2016)
Predicting mortality in patients with acute heart failure: Role of risk scores
Andrea Passantino et al.
WORLD JOURNAL OF CARDIOLOGY (2015)
Forecasting the Impact of Heart Failure in the United States A Policy Statement From the American Heart Association
Paul A. Heidenreich et al.
CIRCULATION-HEART FAILURE (2013)
Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies
Stuart J. Pocock et al.
EUROPEAN HEART JOURNAL (2013)
Validated, Electronic Health Record Deployable Prediction Models for Assessing Patient Risk of 30-Day Rehospitalization and Mortality in Older Heart Failure Patients
Zubin J. Eapen et al.
JACC-HEART FAILURE (2013)
Prediction of Heart Failure Mortality in Emergent Care A Cohort Study
Douglas S. Lee et al.
ANNALS OF INTERNAL MEDICINE (2012)
Regression trees for predicting mortality in patients with cardiovascular disease: What improvement is achieved by using ensemble-based methods?
Peter C. Austin et al.
BIOMETRICAL JOURNAL (2012)
The pathophysiology of heart failure
Clinton D. Kemp et al.
CARDIOVASCULAR PATHOLOGY (2012)
Management and monitoring of haemodynamic complications in acute heart failure
Nadia Aspromonte et al.
HEART FAILURE REVIEWS (2011)
Cardiovascular Risk Prediction Basic Concepts, Current Status, and Future Directions
Donald M. Lloyd-Jones
CIRCULATION (2010)
Prediction Modeling Using EHR Data Challenges, Strategies, and a Comparison of Machine Learning Approaches
Jionglin Wu et al.
MEDICAL CARE (2010)
Acute Heart Failure Syndromes
Mihai Gheorghiade et al.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2009)
Admission B-type natriuretic peptide levels and in-hospital mortality in acute decompensated heart failure
Gregg C. Fonarow et al.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2007)
Barriers to apply cardiovascular prediction rules in primary care: a postal survey
Klaus Eichler et al.
BMC FAMILY PRACTICE (2007)
EuroHeart Failure Survey II (EHFS II): a survey on hospitalized acute heart failure patients: description of population
Markku S. Nieminen et al.
EUROPEAN HEART JOURNAL (2006)
Utility of amino-terminal pro-brain natriuretic peptide testing for prediction of 1-year mortality in patients with dyspnea treated in the emergency department
JL Januzzi et al.
ARCHIVES OF INTERNAL MEDICINE (2006)
分享论文
