Learning from class-imbalance and heterogeneous data for 30-day hospital readmission
Published 2020 View Full Article
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Title
Learning from class-imbalance and heterogeneous data for 30-day hospital readmission
Authors
Keywords
30-day readmission prediction, Heterogeneous data, Class-imbalance data, Sample weight learning, Large margin property
Journal
NEUROCOMPUTING
Volume 420, Issue -, Pages 27-35
Publisher
Elsevier BV
Online
2020-09-12
DOI
10.1016/j.neucom.2020.08.064
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- (2019) Gokul S. Krishnan et al. APPLIED SOFT COMPUTING
- Extraction of actionable knowledge to reduce hospital readmissions through patients personalization
- (2019) Mamoun T. Mardini et al. INFORMATION SCIENCES
- Readmission prediction using deep learning on electronic health records
- (2019) Awais Ashfaq et al. JOURNAL OF BIOMEDICAL INFORMATICS
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- (2019) Shuchen Kong et al. NEUROCOMPUTING
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- (2019) Jia Zhang et al. PATTERN RECOGNITION
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- (2019) Seyed Ehsan Roshan et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems
- (2019) Lin Sun et al. KNOWLEDGE-BASED SYSTEMS
- Predicting Hospital Readmission: A Joint Ensemble-Learning Model
- (2019) Kaiye Yu et al. IEEE Journal of Biomedical and Health Informatics
- Predictive models for hospital readmission risk: A systematic review of methods
- (2018) Arkaitz Artetxe et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Predicting Hospital Readmission via Cost-sensitive Deep Learning
- (2018) Haishuai Wang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- An integrated machine learning framework for hospital readmission prediction
- (2018) Shancheng Jiang et al. KNOWLEDGE-BASED SYSTEMS
- Multi-label learning with label-specific features by resolving label correlations
- (2018) Jia Zhang et al. KNOWLEDGE-BASED SYSTEMS
- Multi-label feature selection with application to TCM state identification
- (2018) Liang Dai et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- Joint multi-label classification and label correlations with missing labels and feature selection
- (2018) Zhi-Fen He et al. KNOWLEDGE-BASED SYSTEMS
- Towards a unified multi-source-based optimization framework for multi-label learning
- (2018) Jia Zhang et al. APPLIED SOFT COMPUTING
- Daily prediction of ICU readmissions using feature engineering and ensemble fuzzy modeling
- (2017) Rita Viegas et al. EXPERT SYSTEMS WITH APPLICATIONS
- Computational drug repositioning using collaborative filtering via multi-source fusion
- (2017) Jia Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
- A mixed-ensemble model for hospital readmission
- (2016) Lior Turgeman et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Analysis of Machine Learning Techniques for Heart Failure Readmissions
- (2016) Bobak J. Mortazavi et al.
- Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery
- (2016) Yaliang Li et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Local learning-based feature weighting with privacy preservation
- (2016) Yun Li et al. NEUROCOMPUTING
- Analysis of Machine Learning Techniques for Heart Failure Readmissions
- (2016) Bobak J. Mortazavi et al. Circulation-Cardiovascular Quality and Outcomes
- The HOSPITAL score as a predictor of 30 day readmission in a retrospective study at a university affiliated community hospital
- (2016) Robert Robinson PeerJ
- MIMIC-III, a freely accessible critical care database
- (2016) Alistair E.W. Johnson et al. Scientific Data
- Predictive modeling of hospital readmissions using metaheuristics and data mining
- (2015) Bichen Zheng et al. EXPERT SYSTEMS WITH APPLICATIONS
- A comparison of models for predicting early hospital readmissions
- (2015) Joseph Futoma et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Random Balance: Ensembles of variable priors classifiers for imbalanced data
- (2015) José F. Díez-Pastor et al. KNOWLEDGE-BASED SYSTEMS
- Improved support vector machine algorithm for heterogeneous data
- (2015) Shili Peng et al. PATTERN RECOGNITION
- Diagnosis-specific readmission risk prediction using electronic health data: a retrospective cohort study
- (2014) Courtney Hebert et al. BMC Medical Informatics and Decision Making
- Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records
- (2014) Beata Strack et al. Biomed Research International
- Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data
- (2013) C. L. Castro et al. IEEE Transactions on Neural Networks and Learning Systems
- Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community
- (2010) C. van Walraven et al. CANADIAN MEDICAL ASSOCIATION JOURNAL
- Large-margin nearest neighbor classifiers via sample weight learning
- (2010) Qinghua Hu et al. NEUROCOMPUTING
- Local-Learning-Based Feature Selection for High-Dimensional Data Analysis
- (2009) Yijun Sun et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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