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Citing this Article

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Published on 22.11.17 in Vol 5, No 4 (2017): Oct-Dec

This paper is in the following e-collection/theme issue:

Works citing "Predicting Unplanned Transfers to the Intensive Care Unit: A Machine Learning Approach Leveraging Diverse Clinical Elements"

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.8680):

(note that this is only a small subset of citations)

  1. Keim-Malpass J, Clark MT, Lake DE, Moorman JR. Towards development of alert thresholds for clinical deterioration using continuous predictive analytics monitoring. Journal of Clinical Monitoring and Computing 2019;
    CrossRef
  2. Goto T, Camargo CA, Faridi MK, Freishtat RJ, Hasegawa K. Machine Learning–Based Prediction of Clinical Outcomes for Children During Emergency Department Triage. JAMA Network Open 2019;2(1):e186937
    CrossRef
  3. Kirkendall ES, Ni Y, Lingren T, Leonard M, Hall ES, Melton K. Data Challenges With Real-Time Safety Event Detection And Clinical Decision Support. Journal of Medical Internet Research 2019;21(5):e13047
    CrossRef
  4. Goto T, Jo T, Matsui H, Fushimi K, Hayashi H, Yasunaga H. Machine Learning-Based Prediction Models for 30-Day Readmission after Hospitalization for Chronic Obstructive Pulmonary Disease. COPD: Journal of Chronic Obstructive Pulmonary Disease 2019;:1
    CrossRef
  5. Lin Y, Zhou Y, Faghri F, Shaw MJ, Campbell RH, Moskovitch R. Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory. PLOS ONE 2019;14(7):e0218942
    CrossRef
  6. Giannini HM, Ginestra JC, Chivers C, Draugelis M, Hanish A, Schweickert WD, Fuchs BD, Meadows L, Lynch M, Donnelly PJ, Pavan K, Fishman NO, Hanson CW, Umscheid CA. A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock. Critical Care Medicine 2019;47(11):1485
    CrossRef
  7. Raita Y, Goto T, Faridi MK, Brown DFM, Camargo CA, Hasegawa K. Emergency department triage prediction of clinical outcomes using machine learning models. Critical Care 2019;23(1)
    CrossRef
  8. Peine A, Hallawa A, Schöffski O, Dartmann G, Fazlic LB, Schmeink A, Marx G, Martin L. A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study. JMIR Medical Informatics 2019;7(4):e14806
    CrossRef