Published on 31.07.17 in Vol 5, No 3 (2017): Jul-Sept
Works citing "Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers"
According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.7140):
(note that this is only a small subset of citations)
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Spasic I, Nenadic G. Clinical Text Data in Machine Learning: Systematic Review. JMIR Medical Informatics 2020;8(3):e17984
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van Dael J, Reader TW, Gillespie A, Neves AL, Darzi A, Mayer EK. Learning from complaints in healthcare: a realist review of academic literature, policy evidence and front-line insights. BMJ Quality & Safety 2020;29(8):684
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Liu Y, Wan Y, Su X. Identifying individual expectations in service recovery through natural language processing and machine learning. Expert Systems with Applications 2019;131:288
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Anagnostou P, Tasoulis S, Vrahatis AG, Georgakopoulos S, Prina M, Ayuso-Mateos JL, Bickenbach J, Bayes-Marin I, Caballero FF, Egea-Cortés L, García-Esquinas E, Leonardi M, Scherbov S, Tamosiunas A, Galas A, Haro JM, Sanchez-Niubo A, Plagianakos V, Panagiotakos D. Enhancing the Human Health Status Prediction: The ATHLOS Project. Applied Artificial Intelligence 2021;35(11):834
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Ma S, Jiang S, Yang O, Zhang X, Fu Y, Zhang Y, Kaareen A, Ling M, Chen J, Shang C. Use of Machine Learning Tools in Evidence Synthesis of Tobacco Use Among Sexual and Gender Diverse Populations: Algorithm Development and Validation. JMIR Formative Research 2024;8:e49031
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According to Crossref, the following books are citing this article (DOI 10.2196/medinform.7140):