First Get the Data, Then Do the Science!
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[1] R. Wetzel,et al. The virtual pediatric intensive care unit. Practice in the new millennium. , 2001, Pediatric clinics of North America.
[2] L. Aiken,et al. Educational levels of hospital nurses and surgical patient mortality. , 2003, JAMA.
[3] Databases for assessing the outcomes of the treatment of patients with congenital and paediatric cardiac disease – the perspective of critical care , 2008, Cardiology in the Young.
[4] R. Wetzel,et al. Are all ICUs the same? , 2011, Paediatric anaesthesia.
[5] A. Reisner,et al. Clinician blood pressure documentation of stable intensive care patients: An intelligent archiving agent has a higher association with future hypotension , 2011, Critical care medicine.
[6] Chris Mattmann,et al. An informatics architecture for the Virtual Pediatric Intensive Care Unit , 2011, 2011 24th International Symposium on Computer-Based Medical Systems (CBMS).
[7] 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.
[8] David J. Stone,et al. Optimal data systems: the future of clinical predictions and decision support , 2014, Current opinion in critical care.
[9] I. Papathanasiou,et al. Health care practices in ancient Greece: The Hippocratic ideal , 2014, Journal of medical ethics and history of medicine.
[10] R. Wetzel,et al. Evidence-Based Pediatric Outcome Predictors to Guide the Allocation of Critical Care Resources in a Mass Casualty Event* , 2015, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.
[11] Shamim Nemati,et al. Machine Learning and Decision Support in Critical Care , 2016, Proceedings of the IEEE.
[12] James C. Fackler,et al. Beyond Current HIMS: Future Visions and a Roadmap , 2016 .
[13] Maria Lucia Specchia,et al. The impact of electronic health records on healthcare quality: a systematic review and meta-analysis. , 2016, European journal of public health.
[14] Peter Szolovits,et al. MIMIC-III, a freely accessible critical care database , 2016, Scientific Data.
[15] P. Jouvet,et al. Perpetual and Virtual Patients for Cardiorespiratory Physiological Studies , 2015, Journal of Pediatric Intensive Care.
[16] R. Wetzel,et al. Pediatric Intensive Care Databases for Quality Improvement , 2015, Journal of Pediatric Intensive Care.
[17] Andrew James,et al. Big Data in the Intensive Care Unit , 2017, AMIA.
[18] Jonathan H. Chen,et al. Machine Learning and Prediction in Medicine - Beyond the Peak of Inflated Expectations. , 2017, The New England journal of medicine.
[19] Michael Sauthier,et al. Creating a High-Frequency Electronic Database in the PICU: The Perpetual Patient* , 2018, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.
[20] R. Wetzel,et al. Development and Validation of an Empiric Tool to Predict Favorable Neurologic Outcomes Among PICU Patients* , 2018, Critical care medicine.