Machine learning approaches for predicting disposition of asthma and COPD exacerbations in the ED

The American Journal of Emergency Medicine - Tập 36 Số 9 - Trang 1650-1654 - 2018
Tadahiro Goto1, Carlos A. Camargo1, Mohammad Kamal Faridi1, Brian J. Yun1, Kohei Hasegawa1
1Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America

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HCUPnet. U.S. Department of Health and Human Services

Bhogal, 2012, Early administration of systemic corticosteroids reduces hospital admission rates for children with moderate and severe asthma exacerbation, Ann Emerg Med, 60, 84, 10.1016/j.annemergmed.2011.12.027

Plant, 2000, Early use of non-invasive ventilation for acute exacerbations of chronic obstructive pulmonary disease on general respiratory wards: a multicentre randomised controlled trial, Lancet, 355, 1931, 10.1016/S0140-6736(00)02323-0

Rowe, 2001, Early emergency department treatment of acute asthma with systemic corticosteroids, Cochrane Database Syst Rev, 10.1002/14651858.CD002178

Hitchcock, 2014, Triage: an investigation of the process and potential vulnerabilities, J Adv Nurs, 70, 1532, 10.1111/jan.12304

Levin, 2018, Machine-learning-based electronic triage more accurately differentiates patients with respect to clinical outcomes compared with the emergency severity index, Ann Emerg Med, 71, 565, 10.1016/j.annemergmed.2017.08.005

Dugas, 2016, An electronic emergency triage system to improve patient distribution by critical outcomes, J Emerg Med, 50, 910, 10.1016/j.jemermed.2016.02.026

Arya, 2013, Decreasing length of stay in the emergency department with a split emergency severity index 3 patient flow model, Acad Emerg Med, 20, 1171, 10.1111/acem.12249

Parshall, 2006, Predictors of emergency department visit disposition for patients with chronic obstructive pulmonary disease, Heart Lung, 35, 342, 10.1016/j.hrtlng.2006.02.002

Berlyand, 2018, How artificial intelligence could transform emergency department operations, Am J Emerg Med, 10.1016/j.ajem.2018.01.017

Kuhn, 2013, Vol. 26

2015 NHAMCS Emergency Department public use data file

Hasegawa, 2014, A population-based study of adults who frequently visit the emergency department for acute asthma: California and Florida, 2009–2010, Ann Am Thorac Soc, 11, 158, 10.1513/AnnalsATS.201306-166OC

Tsai, 2008, National study of emergency department visits for acute exacerbation of chronic obstructive pulmonary disease, 1993–2005, Acad Emerg Med, 15, 1275, 10.1111/j.1553-2712.2008.00284.x

Quan, 2005, Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data, Med Care, 43, 1130, 10.1097/01.mlr.0000182534.19832.83

Chen, 2016, 785

Kingma, 2014, A method for stochastic optimization

R interface to Keras

Taylor, 2016, Prediction of in-hospital mortality in emergency department patients with Sepsis: a local big data-driven, machine learning approach, Acad Emerg Med, 23, 269, 10.1111/acem.12876

Liu, 2014, Risk scoring for prediction of acute cardiac complications from imbalanced clinical data, IEEE J Biomed Health Inf, 18, 1894, 10.1109/JBHI.2014.2303481

Mortazavi, 2016, Analysis of machine learning techniques for heart failure readmissions, Circ Cardiovasc Qual Outcome, 9, 629, 10.1161/CIRCOUTCOMES.116.003039

Arnold, 2015, Development and internal validation of a pediatric acute asthma prediction rule for hospitalization, J Allergy Clin Immunol Practs, 3, 228, 10.1016/j.jaip.2014.09.017

Farion, 2010, A tree-based decision model to support prediction of the severity of asthma exacerbations in children, J Med Syst, 34, 551, 10.1007/s10916-009-9268-7

Farion, 2013, Comparing predictions made by a prediction model, clinical score, and physicians: pediatric asthma exacerbations in the emergency department, Appl Clin Inf, 4, 376, 10.4338/ACI-2013-04-RA-0029

Hasegawa, 2016, Association of guideline-concordant acute asthma care in the emergency department with shorter hospital length-of-stay: a multicenter observational study, Acad Emerg Med, 23, 616, 10.1111/acem.12920

Hasegawa, 2015, Comparison of US emergency department acute asthma care quality: 1997–2001 and 2011–2012, J Allergy Clin Immunol, 135, 73, 10.1016/j.jaci.2014.08.028