Cover Image

Machine Learning-Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study

BackgroundWith the prevalence of cardiovascular diseases increasing worldwide, early prediction and accurate assessment of heart failure (HF) risk are crucial to meet the clinical demand. ObjectiveOur study objective was to develop machine learning (ML) models based on real-world electronic health r...

Full description

Saved in:

Bibliographic Details
Main Authors:	Lv, Haichen (Author), Yang, Xiaolei (Author), Wang, Bingyi (Author), Wang, Shaobo (Author), Du, Xiaoyan (Author), Tan, Qian (Author), Hao, Zhujing (Author), Liu, Ying (Author), Yan, Jun (Author), Xia, Yunlong (Author)
Format:	Book
Published:	JMIR Publications, 2021-04-01T00:00:00Z.
Subjects:	article
Online Access:	Connect to this object online.
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Subphenotyping depression using machine learning and electronic health records
by: Zhenxing Xu, et al.
Published: (2020)

Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language
by: Pascal S. Brandt, et al.
Published: (2020)

Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records
by: Jie Xu, et al.
Published: (2020)

Prediction of the risk of cytopenia in hospitalized HIV/AIDS patients using machine learning methods based on electronic medical records
by: Liling Huang, et al.
Published: (2023)

Estimation of postpartum depression risk from electronic health records using machine learning
by: Guy Amit, et al.
Published: (2021)

Interpretable Machine Learning Prediction of Drug-Induced QT Prolongation: Electronic Health Record Analysis
by: Steven T Simon, et al.
Published: (2022)

Approach to machine learning for extraction of real-world data variables from electronic health records
by: Blythe Adamson, et al.
Published: (2023)

Applying Implementation Science to Advance Electronic Health Record-Driven Learning Health Systems: Case Studies, Challenges, and Recommendations
by: Katy E Trinkley, et al.
Published: (2024)

Interplay between traumatic brain injury and intimate partner violence: data driven analysis utilizing electronic health records
by: Larry Y. Liu, et al.
Published: (2020)

An Electronic Medical Record-Based Prognostic Model for Inpatient Falls: Development and Internal-External Cross-Validation
by: Rex Parsons, et al.
Published: (2024)

Electronic medical records
by: Malakar Rajib
Published: (2006)

Development of a Prognostic Nomogram for Nonneutropenic Invasive Pulmonary Aspergillosis Based on Machine Learning
by: Du W, et al.
Published: (2024)

Machine learning with routine electronic medical record data to identify people at high risk of disengagement from HIV care in Tanzania
by: Carolyn A. Fahey, et al.
Published: (2022)

Machine learning with routine electronic medical record data to identify people at high risk of disengagement from HIV care in Tanzania.
by: Carolyn A Fahey, et al.
Published: (2022)

Determining the Failure Rate of Direct Restorations-Chart Review versus Electronic Health Record Reports
by: Priyal Patel, et al.
Published: (2024)

Predicting the Mortality and Readmission of In-Hospital Cardiac Arrest Patients With Electronic Health Records: A Machine Learning Approach
by: Chien-Yu Chi, et al.
Published: (2021)

Machine Learning Approaches for Predicting Psoriatic Arthritis Risk Using Electronic Medical Records: Population-Based Study
by: Leon Tsung-Ju Lee, et al.
Published: (2023)

Generalizability of machine learning methods in detecting adverse drug events from clinical narratives in electronic medical records
by: Md Muntasir Zitu, et al.
Published: (2023)

Artificial‐intelligence‐driven discovery of prognostic biomarker for sarcopenia
by: Heewon Chung, et al.
Published: (2021)

The Use of Deep Learning and Machine Learning on Longitudinal Electronic Health Records for the Early Detection and Prevention of Diseases: Scoping Review
by: Laura Swinckels, et al.
Published: (2024)

Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation
by: Zhao, Yiqing, et al.
Published: (2021)

Pharmacogenomic augmented machine learning in electronic health record alerts: A health system‐wide usability survey of clinicians
by: Caroline W. Grant, et al.
Published: (2024)

Identification of the high-risk area for schistosomiasis transmission in China based on information value and machine learning: a newly data-driven modeling attempt
by: Yan-Feng Gong, et al.
Published: (2021)

Predicting adverse drug event using machine learning based on electronic health records: a systematic review and meta-analysis
by: Qiaozhi Hu, et al.
Published: (2024)

Nursing decision support system: application in electronic health records†
by: Wu Mi-Zhi, et al.
Published: (2020)

Efficacy and Safety of Direct Oral Anticoagulants for Secondary Prevention of Cancer-Associated Thrombosis: A Systematic Review and Meta-Analysis of Randomized Controlled Trials and Prospective Cohort Studies
by: Yunsong Wang, et al.
Published: (2019)

A cost-effective, machine learning-driven approach for screening arterial functional aging in a large-scale Chinese population
by: Rujia Miao, et al.
Published: (2024)

Data-Driven Approaches in Antimicrobial Resistance: Machine Learning Solutions
by: Aikaterini Sakagianni, et al.
Published: (2024)

Electronic Health Record-Driven Approaches in Primary Care to Strengthen Hypertension Management Among Racial and Ethnic Minoritized Groups in the United States: Systematic Review
by: Dominik Ose, et al.
Published: (2023)

Secondary Analysis of Electronic Health Records
by: Critical Data, MIT
Published: (2016)

Secondary Analysis of Electronic Health Records
by: MIT Critical Data
Published: (2016)

Secondary Analysis of Electronic Health Records
by: Critical Data, MIT
Published: (2016)

Electronic patient record - promises to be redeemed
by: Ilkka Winblad
Published: (2009)

Adoption of electronic health records and barriers
by: Venkataraman Palabindala, et al.
Published: (2016)

Identification of a prognostic signature in colorectal cancer using combinatorial algorithm‐driven analysis
by: Abdo Alnabulsi, et al.
Published: (2022)

Question Answering for Electronic Health Records: Scoping Review of Datasets and Models
by: Jayetri Bardhan, et al.
Published: (2024)

Development and validation of a machine learning-based prognostic model for IgA nephropathy with CKD stage 3 or 4
by: Zixian Yu, et al.
Published: (2024)

Workarounds in Electronic Health Record Systems and the Revised Sociotechnical Electronic Health Record Workaround Analysis Framework: Scoping Review
by: Vincent Blijleven, et al.
Published: (2022)

Electronic medical record implementation in tertiary care: factors influencing adoption of an electronic medical record in a cancer centre
by: Anna Janssen, et al.
Published: (2021)

Benefits and drawbacks of electronic health record systems
by: Menachemi N, et al.
Published: (2011)