Cargando…

Utilizing electronic health data and machine learning for the prediction of 30-day unplanned readmission or all-cause mortality in heart failure

BACKGROUND: Existing risk assessment tools for heart failure (HF) outcomes use structured databases with static, single-timepoint clinical data and have limited accuracy. OBJECTIVE: The purpose of this study was to develop a comprehensive approach for accurate prediction of 30-day unplanned readmiss...

Descripción completa

Detalles Bibliográficos
Autores principales:	Beecy, Ashley N., Gummalla, Manasa, Sholle, Evan, Xu, Zhuoran, Zhang, Yiye, Michalak, Kelly, Dolan, Kristina, Hussain, Yasin, Lee, Benjamin C., Zhang, Yongkang, Goyal, Parag, Campion, Thomas R., Shaw, Leslee J., Baskaran, Lohendran, Al’Aref, Subhi J.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2020
Materias:	Clinical
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890080/ https://www.ncbi.nlm.nih.gov/pubmed/35265878 http://dx.doi.org/10.1016/j.cvdhj.2020.07.004

Ejemplares similares

Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation
por: Singh, Gurpreet, et al.
Publicado: (2020)

Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing
por: Pandey, Mohit, et al.
Publicado: (2020)

Using electronic health records for population health sciences: a case study to evaluate the associations between changes in left ventricular ejection fraction and the built environment
por: Zhang, Yiye, et al.
Publicado: (2020)

End-to-End, Pixel-Wise Vessel-Specific Coronary and Aortic Calcium Detection and Scoring Using Deep Learning
por: Singh, Gurpreet, et al.
Publicado: (2021)

Assessing the impact of social determinants of health on predictive models for potentially avoidable 30-day readmission or death
por: Zhang, Yongkang, et al.
Publicado: (2020)

Mining multi-center heterogeneous medical data with distributed synthetic learning
por: Chang, Qi, et al.
Publicado: (2023)

Publisher Correction: Mining multi-center heterogeneous medical data with distributed synthetic learning
por: Chang, Qi, et al.
Publicado: (2023)

Comparing the pooled cohort equations and coronary artery calcium scores in a symptomatic mixed Asian cohort
por: Baskaran, Lohendran, et al.
Publicado: (2023)

Evaluating the Coronary Artery Disease Consortium Model and the Coronary Artery Calcium Score in Predicting Obstructive Coronary Artery Disease in a Symptomatic Mixed Asian Cohort
por: Baskaran, Lohendran, et al.
Publicado: (2022)

Unplanned hospital readmission after surgical treatment for thoracic spinal stenosis: incidence and causative factors
por: Wang, Hui, et al.
Publicado: (2021)

Potentially preventable readmissions - narrowing identification of patients at risk of unplanned readmission
por: Berlinguet, M, et al.
Publicado: (2010)

Application of deep neural networks for inferring pressure in polymeric acoustic transponders/sensors
por: Alaie, Seyedhamidreza, et al.
Publicado: (2023)

Effect of Comorbidity On Unplanned Readmissions After Percutaneous Coronary Intervention (From The Nationwide Readmission Database)
por: Kwok, Chun Shing, et al.
Publicado: (2018)

External validation of EPIC’s Risk of Unplanned Readmission model, the LACE+ index and SQLape as predictors of unplanned hospital readmissions: A monocentric, retrospective, diagnostic cohort study in Switzerland
por: Hwang, Aljoscha Benjamin, et al.
Publicado: (2021)

Unplanned readmission after carotid stenting versus endarterectomy: analysis of the United States Nationwide Readmissions Database
por: Nazari, Pouya, et al.
Publicado: (2023)

Current and Future Applications of Artificial Intelligence in Coronary Artery Disease
por: Gautam, Nitesh, et al.
Publicado: (2022)

The outcomes and prognostic factors of the patients with unplanned intensive care unit readmissions
por: Lin, Wei-Ting, et al.
Publicado: (2018)

Incidence and Predictors of Unplanned Hospital Readmission after Percutaneous Coronary Intervention
por: Biswas, Sinjini, et al.
Publicado: (2020)

Hospital Competition and Unplanned Readmission: Evidence from a Systematic Review
por: Jiang, Qingling, et al.
Publicado: (2021)

Prediction of unplanned 30-day readmission for ICU patients with heart failure
por: Pishgar, M., et al.
Publicado: (2022)

Predicting unplanned readmissions in the intensive care unit: a multimodality evaluation
por: Sheetrit, Eitam, et al.
Publicado: (2023)

Prediction of 30-day unplanned hospital readmission through survival analysis
por: Pons-Suñer, Pedro, et al.
Publicado: (2023)

Percutaneous coronary intervention and 30‐day unplanned readmission with chest pain in the United States (Nationwide Readmissions Database)
por: Sykes, RobertA., et al.
Publicado: (2021)

Generalizable Middleware to Support Use of REDCap Dynamic Data Pull for Integrating Clinical and Research Data
por: Campion, Thomas R., et al.
Publicado: (2017)

Determinants of In‐Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach
por: Al'Aref, Subhi J., et al.
Publicado: (2019)

Assessing the importance of predictors in unplanned hospital readmissions for chronic obstructive pulmonary disease
por: Yu, Tzy-Chyi, et al.
Publicado: (2015)

The outcomes and prognostic factors of the patients with unplanned intensive care unit readmissions: Erratum
Publicado: (2018)

Risk factors associated with paediatric unplanned hospital readmissions: a systematic review
por: Zhou, Huaqiong, et al.
Publicado: (2019)

Unplanned 30-Day Hospital Readmissions of Symptomatic Carotid and Vertebral Artery Dissection
por: Mehta, Tapan, et al.
Publicado: (2018)

Association of Frailty and Postoperative Complications With Unplanned Readmissions After Elective Outpatient Surgery
por: Rothenberg, Kara A., et al.
Publicado: (2019)

Unplanned hospital readmissions following congenital heart diseases surgery: Prevalence and predictors
por: Azhar, Ahmad S.
Publicado: (2019)

Multicenter study of risk factors of unplanned 30‐day readmissions in pediatric oncology
por: Hoenk, Kamila, et al.
Publicado: (2021)

Contemporary Unplanned Readmission Trends Following Management of Type B Aortic Dissection
por: Williamson, Ashley J., et al.
Publicado: (2022)

Risk Factors for Unplanned ICU Readmission Among Trauma Patients: Age Matters
por: Laytin, Adam D., et al.
Publicado: (2022)

Prediction of Unplanned Hospital Readmission using Clinical and Longitudinal Wearable Sensor Features
por: Yhdego, Haben H., et al.
Publicado: (2023)

The impact of unplanned 30-day readmission as a quality indicator in pediatric surgery
por: Ellul, Sarah, et al.
Publicado: (2023)

Evaluation of Atherosclerotic Plaque in Non-invasive Coronary Imaging
por: Dwivedi, Aeshita, et al.
Publicado: (2018)

Coronary-Cameral Fistula, Thebesian Veins, and Anomalous Coronary Vein on Cardiac Computed Tomography
por: Xu, Jack, et al.
Publicado: (2021)

Machine Learning for Predicting Intubations in Heart Failure Patients: the Challenge of the Right Approach
por: Ghanta, Sai Nikhila, et al.
Publicado: (2023)

Severely Calcified Pericardium Causing Constrictive Pericarditis
por: Kaur, Jagdeep, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_sq8bgm1i5o2gb28htjg8etb4u5