Published on 26.10.15 in Vol 4, No 4 (2015): Oct-Dec
Works citing "Using Computational Approaches to Improve Risk-Stratified Patient Management: Rationale and Methods"
According to Crossref, the following articles are citing this article (DOI 10.2196/resprot.5039):
(note that this is only a small subset of citations)
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Luo G, Stone BL, Johnson MD, Tarczy-Hornoch P, Wilcox AB, Mooney SD, Sheng X, Haug PJ, Nkoy FL. Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods. JMIR Research Protocols 2017;6(8):e175
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Zeng X, Luo G. Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection. Health Information Science and Systems 2017;5(1)
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Luo G, Nkoy FL, Stone BL, Schmick D, Johnson MD. A systematic review of predictive models for asthma development in children. BMC Medical Informatics and Decision Making 2015;15(1)
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Luo G, Sward K. A Roadmap for Optimizing Asthma Care Management via Computational Approaches. JMIR Medical Informatics 2017;5(3):e32
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. Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction. Health Information Science and Systems 2016;4(1)
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. A review of automatic selection methods for machine learning algorithms and hyper-parameter values. Network Modeling Analysis in Health Informatics and Bioinformatics 2016;5(1)
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Fei X, Tian G, Patnaik S. Attendance automatic recognition and learning behavior of web-based course attendance based on machine learning algorithms. Journal of Intelligent & Fuzzy Systems 2020;39(2):1769
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Luo G, He S, Stone BL, Nkoy FL, Johnson MD. Developing a Model to Predict Hospital Encounters for Asthma in Asthmatic Patients: Secondary Analysis. JMIR Medical Informatics 2020;8(1):e16080
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Nau C, Adams JL, Roblin D, Schmittdiel J, Schroeder E, Steiner JF. Considerations for Identifying Social Needs in Health Care Systems. Medical Care 2019;57(9):661
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Luo G, Stone BL, Koebnick C, He S, Au DH, Sheng X, Murtaugh MA, Sward KA, Schatz M, Zeiger RS, Davidson GH, Nkoy FL. Using Temporal Features to Provide Data-Driven Clinical Early Warnings for Chronic Obstructive Pulmonary Disease and Asthma Care Management: Protocol for a Secondary Analysis. JMIR Research Protocols 2019;8(6):e13783
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. PredicT-ML: a tool for automating machine learning model building with big clinical data. Health Information Science and Systems 2016;4(1)
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Bhardwaj N, Wodajo B, Spano A, Neal S, Coustasse A. The Impact of Big Data on Chronic Disease Management. The Health Care Manager 2018;37(1):90
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Luo G, Stone BL, Johnson MD, Nkoy FL. Predicting Appropriate Admission of Bronchiolitis Patients in the Emergency Department: Rationale and Methods. JMIR Research Protocols 2016;5(1):e41
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Luo G, Johnson MD, Nkoy FL, He S, Stone BL. Automatically Explaining Machine Learning Prediction Results on Asthma Hospital Visits in Patients With Asthma: Secondary Analysis. JMIR Medical Informatics 2020;8(12):e21965
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Sawrikar V, Stewart E, LaMonica HM, Iorfino F, Davenport TA, Cross S, Scott E, Naismith SL, Mowszowski L, Guastella A, Hickie IB. Using Staged Care to Provide “Right Care First Time” to People With Common Affective Disorders. Psychiatric Services 2021;72(6):691
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Luo G, Stone BL, Sheng X, He S, Koebnick C, Nkoy FL. Using Computational Methods to Improve Integrated Disease Management for Asthma and Chronic Obstructive Pulmonary Disease: Protocol for a Secondary Analysis. JMIR Research Protocols 2021;10(5):e27065
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Girwar SM, Jabroer R, Fiocco M, Sutch SP, Numans ME, Bruijnzeels MA. A systematic review of risk stratification tools internationally used in primary care settings. Health Science Reports 2021;4(3)
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Kennedy K, Allenbrand R, Bowles E. The Role of Home Environments in Allergic Disease. Clinical Reviews in Allergy & Immunology 2019;57(3):364
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According to Crossref, the following books are citing this article (DOI 10.2196/resprot.5039):
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Khedo KK, Baichoo S, Nagowah SD, Nagowah L, Mungloo-Dilmohamud Z, Cadersaib Z, Cheerkoot-Jalim S. IoT and ICT for Healthcare Applications. 2020. Chapter 8:117
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