A deep learning-based, unsupervised method to impute missing values in electronic health records for improved patient management
暂无分享,去创建一个
Paul Jen-Hwa Hu | Chih-Chin Hsu | Da Xu | Ting-Shuo Huang | Xiao Fang | Ting Huang | P. H. Hu | Chih-Chin Hsu | Xiao Fang | Da Xu | Ting Shuo Huang
[1] Kevin Fauvel,et al. Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection , 2019, KDD.
[2] Laurent Gatto,et al. Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies. , 2016, Journal of proteome research.
[3] Stef van Buuren,et al. Multiple imputation of discrete and continuous data by fully conditional specification , 2007 .
[4] J. Ancker,et al. The Invisible Work of Personal Health Information Management Among People With Multiple Chronic Conditions: Qualitative Interview Study Among Patients and Providers , 2015, Journal of medical Internet research.
[5] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[6] Yiming Yang,et al. Deep Learning for Epidemiological Predictions , 2018, SIGIR.
[7] Gerard M Schippers,et al. UvA-DARE ( Digital Academic Repository ) Missing Data Approaches in eHealth Research : Simulation Study and a Tutorial for Nonmathematically Inclined Researchers , 2011 .
[8] D. Rubin. Multiple imputation for nonresponse in surveys , 1989 .
[9] Stef van Buuren,et al. MICE: Multivariate Imputation by Chained Equations in R , 2011 .
[10] Hadi Kharrazi,et al. Prospective EHR-Based Clinical Trials: The Challenge of Missing Data , 2014, Journal of General Internal Medicine.
[11] Karel G M Moons,et al. Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis , 2012, Canadian Medical Association Journal.
[12] Susan M Shortreed,et al. Estimating the effect of long-term physical activity on cardiovascular disease and mortality: evidence from the Framingham Heart Study , 2013, Heart.
[13] R. Marimont,et al. Nearest Neighbour Searches and the Curse of Dimensionality , 1979 .
[14] Noémie Elhadad,et al. Identifying and mitigating biases in EHR laboratory tests , 2014, J. Biomed. Informatics.
[15] John P. A. Ioannidis,et al. Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review , 2017, J. Am. Medical Informatics Assoc..
[16] John Van Hoewyk,et al. A multivariate technique for multiply imputing missing values using a sequence of regression models , 2001 .
[17] Michael M. Vigoda,et al. Future of electronic health records: implications for decision support. , 2012, The Mount Sinai journal of medicine, New York.
[18] Gene H. Golub,et al. Missing value estimation for DNA microarray gene expression data: local least squares imputation , 2005, Bioinform..
[19] John B. Carlin,et al. Bias and efficiency of multiple imputation compared with complete‐case analysis for missing covariate values , 2010, Statistics in medicine.
[20] Russ B. Altman,et al. Missing value estimation methods for DNA microarrays , 2001, Bioinform..
[21] Yi Deng,et al. Multiple Imputation for General Missing Data Patterns in the Presence of High-dimensional Data , 2016, Scientific Reports.
[22] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[23] Kaveh G Shojania,et al. The impact of adverse events in the intensive care unit on hospital mortality and length of stay , 2008, BMC health services research.
[24] B. Estambale,et al. Mathematical modelling of liver cancer in Western Kenya , 2017 .
[25] M. Rutter,et al. Bias resulting from missing information: some epidemiological findings. , 1977, British journal of preventive & social medicine.
[26] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[27] R. Little,et al. The prevention and treatment of missing data in clinical trials. , 2012, The New England journal of medicine.
[28] Constantine Frangakis,et al. Multiple imputation by chained equations: what is it and how does it work? , 2011, International journal of methods in psychiatric research.
[29] Sharon Swee-Lin Tan,et al. Electronic Health Records: How Can IS Researchers Contribute to Transforming Healthcare? , 2016, MIS Q..
[30] Murat Sariyar,et al. Missing values in deduplication of electronic patient data , 2012, J. Am. Medical Informatics Assoc..
[31] Thomas G. Dietterich. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms , 1998, Neural Computation.
[32] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[33] Edward McAuley,et al. Predicting long-term maintenance of physical activity in older adults. , 2003, Preventive medicine.
[34] Michael D. Greenberg,et al. Too Many Alerts, Too Much Liability: Sorting Through the Malpractice Implications of Drug-Drug Interaction Clinical Decision Support , 2012 .
[35] Jaeyoung Shin,et al. Random Subspace Ensemble Learning for Functional Near-Infrared Spectroscopy Brain-Computer Interfaces , 2020, Frontiers in Human Neuroscience.
[36] D. Rubin,et al. Statistical Analysis with Missing Data. , 1989 .
[37] Ze Li,et al. Practice of a New Model Fusion Structure in Short Video Recommendation , 2019, 2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS).
[38] Runmin Wei,et al. Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data , 2018, Scientific Reports.
[39] Trevor J. Hastie,et al. Matrix completion and low-rank SVD via fast alternating least squares , 2014, J. Mach. Learn. Res..
[40] R. Little. Missing-Data Adjustments in Large Surveys , 1988 .
[41] Robert Tibshirani,et al. Spectral Regularization Algorithms for Learning Large Incomplete Matrices , 2010, J. Mach. Learn. Res..
[42] Trevor Hastie,et al. Imputing Missing Data for Gene Expression Arrays , 2001 .
[43] Senén Barro,et al. Do we need hundreds of classifiers to solve real world classification problems? , 2014, J. Mach. Learn. Res..
[44] et al.,et al. Missing Data Imputation in the Electronic Health Record Using Deeply Learned Autoencoders , 2017, PSB.