The Dependence of Machine Learning on Electronic Medical Record Quality
暂无分享,去创建一个
David Ledbetter | Randall C. Wetzel | Melissa D. Aczon | Long Van Ho | R. Wetzel | D. Ledbetter | L. Ho | M. Aczon
[1] J. L. Gall,et al. APACHE II--a severity of disease classification system. , 1986, Critical care medicine.
[2] David J. Stone,et al. "Big data" in the intensive care unit. Closing the data loop. , 2013, American journal of respiratory and critical care medicine.
[3] K H Wesseling,et al. Non-invasive continuous finger blood pressure measurement during orthostatic stress compared to intra-arterial pressure. , 1990, Cardiovascular research.
[4] Steven Walczak,et al. An Empirical Analysis of Data Requirements for Financial Forecasting with Neural Networks , 2001, J. Manag. Inf. Syst..
[5] M. Balaan,et al. Acute Respiratory Distress Syndrome , 2016, Critical care nursing quarterly.
[6] Gonçalo R. Abecasis,et al. Genetic variants regulating ORMDL3 expression contribute to the risk of childhood asthma , 2007, Nature.
[7] A. Evans,et al. Prostate cancer detection with multi‐parametric MRI: Logistic regression analysis of quantitative T2, diffusion‐weighted imaging, and dynamic contrast‐enhanced MRI , 2009, Journal of magnetic resonance imaging : JMRI.
[8] C. Sprung,et al. Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock 2012 , 2013, Critical care medicine.
[9] Yuichi Nakamura,et al. Approximation of dynamical systems by continuous time recurrent neural networks , 1993, Neural Networks.
[10] F. Shann,et al. PIM2: a revised version of the Paediatric Index of Mortality , 2003, Intensive Care Medicine.
[11] M. Ghassemi,et al. State of the art review: the data revolution in critical care , 2015, Critical Care.
[12] Richard Holubkov,et al. The Pediatric Risk of Mortality Score: Update 2015* , 2016, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.
[13] Murray M Pollack. Severity of Illness Confusion. , 2016, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.
[14] Arthur Flexer,et al. Statistical evaluation of neural networks experiments: Minimum requirements and current practice , 1994 .
[15] Melissa Aczon,et al. 2: EARLY PREDICTION OF PATIENT DETERIORATION USING MACHINE LEARNING TECHNIQUES WITH TIME SERIES DATA , 2016, Critical care medicine.
[16] Andrew James,et al. Big Data in the Intensive Care Unit , 2017, AMIA.
[17] Krzysztof J. Cios,et al. Uniqueness of medical data mining , 2002, Artif. Intell. Medicine.
[18] J. Henry,et al. Adoption of Electronic Health Record Systems among U . S . Non-Federal Acute Care Hospitals : 2008-2015 , 2013 .
[19] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[20] Melissa Aczon,et al. Dynamic Mortality Risk Predictions in Pediatric Critical Care Using Recurrent Neural Networks , 2017, ArXiv.
[21] M. Levy,et al. Surviving Sepsis Campaign: International guidelines for management of severe sepsis and septic shock: 2008 , 2007, Intensive Care Medicine.
[22] Jimeng Sun,et al. Using recurrent neural network models for early detection of heart failure onset , 2016, J. Am. Medical Informatics Assoc..
[23] Robyn Norton,et al. A comparison of albumin and saline for fluid resuscitation in the Intensive Care unit , 2005 .
[24] U. Ruttimann,et al. PRISM III: an updated Pediatric Risk of Mortality score. , 1996, Critical care medicine.