Modeling Healthcare Quality via Compact Representations of Electronic Health Records
暂无分享,去创建一个
Zoran Obradovic | Nemanja Djuric | Jelena Stojanovic | Djordje Gligorijevic | Vladan Radosavljevic | Mihajlo Grbovic | Nemanja Djuric | Z. Obradovic | Vladan Radosavljevic | Djordje Gligorijevic | Jelena Stojanovic | Mihajlo Grbovic
[1] George Hripcsak,et al. Next-generation phenotyping of electronic health records , 2012, J. Am. Medical Informatics Assoc..
[2] Peter Dayan,et al. Computational Phenotyping of Two-Person Interactions Reveals Differential Neural Response to Depth-of-Thought , 2012, PLoS Comput. Biol..
[3] Elizabeth Warren,et al. Illness and Injury as Contributors to Bankruptcy , 2005, Health affairs.
[4] Jimeng Sun,et al. Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization , 2014, KDD.
[5] John L Moran,et al. New models for old questions: generalized linear models for cost prediction. , 2007, Journal of evaluation in clinical practice.
[6] Fabrizio Silvestri,et al. Context- and Content-aware Embeddings for Query Rewriting in Sponsored Search , 2015, SIGIR.
[7] S. Brunak,et al. Mining electronic health records: towards better research applications and clinical care , 2012, Nature Reviews Genetics.
[8] M E J Newman,et al. Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[9] Jimeng Sun,et al. Limestone: High-throughput candidate phenotype generation via tensor factorization , 2014, J. Biomed. Informatics.
[10] Laura B. Madsen. Data-Driven Healthcare: How Analytics and BI are Transforming the Industry , 2014 .
[11] Eric O. Postma,et al. Dimensionality Reduction: A Comparative Review , 2008 .
[12] Fei Wang,et al. From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records , 2014, KDD.
[13] 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.
[14] Lou Ann Wiedemann. Coding sepsis and SIRS. , 2007, Journal of AHIMA.
[15] J. Birkmeyer,et al. Surgical mortality as an indicator of hospital quality: the problem with small sample size. , 2004, JAMA.
[16] Matthew J. Notowidigdo,et al. Health Insurance and the Consumer Bankruptcy Decision: Evidence from Expansions of Medicaid , 2011 .
[17] Sumeet Dua,et al. Introduction to Machine Learning in Healthcare Informatics , 2014, Machine Learning in Healthcare Informatics.
[18] H. Krumholz,et al. Improving the quality of care for Medicare patients with acute myocardial infarction: results from the Cooperative Cardiovascular Project. , 1998, JAMA.
[19] Yoshua Bengio,et al. A Neural Probabilistic Language Model , 2003, J. Mach. Learn. Res..
[20] Shuiwang Ji,et al. SLEP: Sparse Learning with Efficient Projections , 2011 .
[21] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[22] J. Birkmeyer,et al. Hospital Volume, Length of Stay, and Readmission Rates in High-Risk Surgery , 2003, Annals of surgery.
[23] ICD-9-CM Official Guidelines for Coding and Reporting , 2002 .
[24] Donald L. Barlett,et al. Critical Condition: How Health Care in America Became Big Business--and Bad Medicine , 2004 .
[25] Yoshua Bengio,et al. Hierarchical Probabilistic Neural Network Language Model , 2005, AISTATS.
[26] Zoran Obradovic,et al. Improving confidence while predicting trends in temporal disease networks , 2018, ArXiv.
[27] Huan Liu,et al. Leveraging social media networks for classification , 2011, Data Mining and Knowledge Discovery.
[28] J. F. Fitzgerald,et al. Predicting Inpatient Costs With Admitting Clinical Data , 1995, Medical care.
[29] E. Elkin,et al. Risk Adjusting Survival Outcomes in Hospitals That Treat Patients With Cancer Without Information on Cancer Stage. , 2015, JAMA oncology.
[30] Marlene R. Miller,et al. Excess length of stay, charges, and mortality attributable to medical injuries during hospitalization. , 2003, JAMA.
[31] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..