Preprocessing structured clinical data for predictive modeling and decision support
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Henrique M. G. Martins | Filipe Janela | Mónica Duarte Oliveira | José Ferrão | F. Janela | J. Ferrão | H. Martins | M. Oliveira
[1] Adam Wright,et al. White paper: A Roadmap for National Action on Clinical Decision Support , 2007, J. Am. Medical Informatics Assoc..
[2] Christopher G Chute,et al. The SHARPn project on secondary use of Electronic Medical Record data: progress, plans, and possibilities. , 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.
[3] Charles Safran,et al. Toward a national framework for the secondary use of health data: an American Medical Informatics Association White Paper. , 2007, Journal of the American Medical Informatics Association : JAMIA.
[4] Olga Brazhnik,et al. Anatomy of data integration , 2007, J. Biomed. Informatics.
[5] Alon Y. Halevy,et al. Principles of Data Integration , 2012 .
[6] Peter J. Haug,et al. Data Preparation Framework for Preprocessing Clinical Data in Data Mining , 2006, AMIA.
[7] Vimla L. Patel,et al. Are three methods better than one? A comparative assessment of usability evaluation methods in an EHR , 2014, Int. J. Medical Informatics.
[8] Lori C. Phillips,et al. Using the i2b2 hive for clinical discovery: an example. , 2007, AMIA ... Annual Symposium proceedings. AMIA Symposium.
[9] Joshua C Denny,et al. Generating Clinical Notes for Electronic Health Record Systems , 2010, Applied Clinical Informatics.
[10] Huan Liu,et al. Feature Selection for Classification , 1997, Intell. Data Anal..
[11] Eta S. Berner,et al. Clinical Decision Support Systems , 1999, Health Informatics.
[12] B. Wells,et al. Strategies for Handling Missing Data in Electronic Health Record Derived Data , 2013, EGEMS.
[13] C J McDonald,et al. Computer-stored medical records. Their future role in medical practice. , 1988, JAMA.
[14] James C. McClay,et al. The Impact of Domain Knowledge on Structured Data Collection and Templated Note Design , 2013, Applied Clinical Informatics.
[15] Crystal Kallem,et al. Problem list guidance in the EHR. , 2011, Journal of AHIMA.
[16] Ewa Pietka. Large-Scale Hospital Information System in clinical practice , 2003, CARS.
[17] A Burgun,et al. Accessing and Integrating Data and Knowledge for Biomedical Research , 2008, Yearbook of Medical Informatics.
[18] Wei Ma,et al. RxNorm: prescription for electronic drug information exchange , 2005, IT Professional.
[19] Huan Liu,et al. Discretization: An Enabling Technique , 2002, Data Mining and Knowledge Discovery.
[20] M. Gorelick,et al. Bias arising from missing data in predictive models. , 2006, Journal of clinical epidemiology.
[21] T Beale,et al. openEHR Architecture Architecture Overview , 2006 .
[22] Monique Frize,et al. A prototype XML-based implementation of an integrated 'intelligent' neonatal intensive care unit , 2003, 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 2003..
[23] H. Prokosch,et al. Perspectives for Medical Informatics , 2009, Methods of Information in Medicine.
[24] M. Kenward,et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls , 2009, BMJ : British Medical Journal.
[25] Valeria De Antonellis,et al. Relational Database Theory , 1993 .
[26] Neil O'Hare,et al. The use of artificial neural networks to stratify the length of stay of cardiac patients based on preoperative and initial postoperative factors , 2007, Artif. Intell. Medicine.
[27] J. Cimino. Review Paper: Coding Systems in Health Care , 1995, Methods of Information in Medicine.
[28] Klaus A. Kuhn,et al. Health information systems challenges: the Heidelberg conference and the future , 2003, Int. J. Medical Informatics.
[29] George Hripcsak,et al. Health data use, stewardship, and governance: ongoing gaps and challenges: a report from AMIA's 2012 Health Policy Meeting , 2014, J. Am. Medical Informatics Assoc..
[30] Rick Cattell,et al. Scalable SQL and NoSQL data stores , 2011, SGMD.
[31] Terhilda Garrido,et al. The Kaiser Permanente Electronic Health Record: transforming and streamlining modalities of care. , 2009, Health affairs.
[32] D. Suits. Use of Dummy Variables in Regression Equations , 1957 .
[33] Leonardo Franco,et al. Missing data imputation using statistical and machine learning methods in a real breast cancer problem , 2010, Artif. Intell. Medicine.
[34] Bruce E. Bray,et al. Architecture of a Federated Query Engine for Heterogeneous Resources , 2009, AMIA.
[35] Pedro Larrañaga,et al. A review of feature selection techniques in bioinformatics , 2007, Bioinform..
[36] D. Heitjan,et al. Annotation: what can be done about missing data? Approaches to imputation. , 1997, American journal of public health.
[37] Clement J. McDonald,et al. Development of the Logical Observation Identifier Names and Codes (LOINC) vocabulary. , 1998, Journal of the American Medical Informatics Association : JAMIA.
[38] A. Hoerbst,et al. Electronic Health Records , 2010, Methods of Information in Medicine.
[39] T. Stijnen,et al. Review: a gentle introduction to imputation of missing values. , 2006, Journal of clinical epidemiology.
[40] Hugues Bersini,et al. A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis , 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[41] Griffin M. Weber,et al. Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2) , 2010, J. Am. Medical Informatics Assoc..
[42] S. Schneeweiss. Learning from big health care data. , 2014, The New England journal of medicine.
[43] Jimeng Sun,et al. PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records , 2014, J. Biomed. Informatics.
[44] David L. Olson,et al. Rule induction in data mining: effect of ordinal scales , 2002, Expert Syst. Appl..
[45] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[46] Krzysztof J. Cios,et al. Uniqueness of medical data mining , 2002, Artif. Intell. Medicine.
[47] Christel Daniel-Le Bozec,et al. Using electronic health records for clinical research: The case of the EHR4CR project , 2015, J. Biomed. Informatics.
[48] J. Cimino. Desiderata for Controlled Medical Vocabularies in the Twenty-First Century , 1998, Methods of Information in Medicine.
[49] William J Donnelly,et al. Viewpoint:: Patient-Centered Medical Care Requires a Patient-Centered Medical Record , 2005, Academic medicine : journal of the Association of American Medical Colleges.
[50] Kup-Sze Choi,et al. Alternatives to relational database: Comparison of NoSQL and XML approaches for clinical data storage , 2013, Comput. Methods Programs Biomed..
[51] Jason Roy,et al. Prediction Modeling Using EHR Data: Challenges, Strategies, and a Comparison of Machine Learning Approaches , 2010, Medical care.
[52] Richard P. Lippmann,et al. An introduction to computing with neural nets , 1987 .
[53] Casey C. Bennett,et al. Utilizing RxNorm to Support Practical Computing Applications: Capturing Medication History in Live Electronic Health Records , 2012, J. Biomed. Informatics.
[54] Blaz Zupan,et al. Predictive data mining in clinical medicine: Current issues and guidelines , 2008, Int. J. Medical Informatics.
[55] Casey Holmes. The problem list beyond meaningful use. Part I: The problems with problem lists. , 2011, Journal of AHIMA.
[56] A Depeursinge,et al. Clinical Data Mining: a Review , 2009, Yearbook of Medical Informatics.
[57] Grigorios Tsoumakas,et al. Mining Multi-label Data , 2010, Data Mining and Knowledge Discovery Handbook.
[58] Dipak Kalra,et al. Building a Logical EHR architecture based on ISO 13606 standard and Semantic Web Technologies , 2010, MedInfo.
[59] Heikki Mannila,et al. Principles of Data Mining , 2001, Undergraduate Topics in Computer Science.
[60] Paula Asikainen,et al. The outcomes of regional healthcare information systems in health care: A review of the research literature , 2009, Int. J. Medical Informatics.
[61] João Miguel da Costa Sousa,et al. Missing data in medical databases: Impute, delete or classify? , 2013, Artif. Intell. Medicine.
[62] Henry W. W. Potts,et al. Predicting length of stay from an electronic patient record system: a primary total knee replacement example , 2014, BMC Medical Informatics and Decision Making.
[63] Sotiris B. Kotsiantis,et al. Supervised Machine Learning: A Review of Classification Techniques , 2007, Informatica.
[64] Dimitris Koutsouris,et al. Medical support system for continuation of care based on XML web technology , 2001, Int. J. Medical Informatics.
[65] Paul A. Harris,et al. Secondary use of clinical data: The Vanderbilt approach , 2014, J. Biomed. Informatics.
[66] Christel Daniel-Le Bozec,et al. Integrating clinical research with the Healthcare Enterprise: From the RE-USE project to the EHR4CR platform , 2011, J. Biomed. Informatics.
[67] P. Shekelle,et al. Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care , 2006, Annals of Internal Medicine.
[68] Claudio Bartolini,et al. A Service-oriented Architecture for Business Intelligence , 2007, IEEE International Conference on Service-Oriented Computing and Applications (SOCA '07).
[69] Joel H. Saltz,et al. Model Formulation: caGrid 1.0: An Enterprise Grid Infrastructure for Biomedical Research , 2008, J. Am. Medical Informatics Assoc..
[70] D. Bates,et al. Ten key considerations for the successful implementation and adoption of large-scale health information technology. , 2013, Journal of the American Medical Informatics Association : JAMIA.
[71] J. Ross Quinlan,et al. Decision trees and decision-making , 1990, IEEE Trans. Syst. Man Cybern..
[72] Huan Liu,et al. Feature Selection: An Ever Evolving Frontier in Data Mining , 2010, FSDM.
[73] Vickie Nguyen,et al. Detection and characterization of usability problems in structured data entry interfaces in dentistry , 2013, Int. J. Medical Informatics.
[74] Amnon Shabo,et al. Model Formulation: HL7 Clinical Document Architecture, Release 2 , 2006, J. Am. Medical Informatics Assoc..
[75] Cui Tao,et al. Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: The SHARPn project , 2012, J. Biomed. Informatics.