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Citing this Article

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Published on 26.09.17 in Vol 5, No 3 (2017): Jul-Sept

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

Works citing "A Roadmap for Optimizing Asthma Care Management via Computational Approaches"

Gang Luo, Katherine Sward

JMIR Med Inform 2017 (Sep 26); 5(3):e32 

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.8076):

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

  1. Roe KD, Jawa V, Zhang X, Chute CG, Epstein JA, Matelsky J, Shpitser I, Taylor CO, Uzuner O. Feature engineering with clinical expert knowledge: A case study assessment of machine learning model complexity and performance. PLOS ONE 2020;15(4):e0231300
    CrossRef
  2. . A roadmap for semi-automatically extracting predictive and clinically meaningful temporal features from medical data for predictive modeling. Global Transitions 2019;1:61
    CrossRef
  3. 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)
    CrossRef
  4. Rankin D, Black M, Bond R, Wallace J, Mulvenna M, Epelde G. Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing. JMIR Medical Informatics 2020;8(7):e18910
    CrossRef
  5. 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
    CrossRef
  6. 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
    CrossRef
  7. 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
    CrossRef
  8. Kennedy K, Allenbrand R, Bowles E. The Role of Home Environments in Allergic Disease. Clinical Reviews in Allergy & Immunology 2019;57(3):364
    CrossRef
  9. Ekpo RH, Osamor VC, Azeta AA, Ikeakanam E, Amos BO. Machine learning classification approach for asthma prediction models in children. Health and Technology 2023;13(1):1
    CrossRef
  10. Meng Z, Chen H, Deng C, Meng S. Potential cellular endocrinology mechanisms underlying the effects of Chinese herbal medicine therapy on asthma. Frontiers in Endocrinology 2022;13
    CrossRef
  11. . A Roadmap for Boosting Model Generalizability for Predicting Hospital Encounters for Asthma. JMIR Medical Informatics 2022;10(3):e33044
    CrossRef
  12. Bae WD, Alkobaisi S, Horak M, Park C, Kim S, Davidson J. Predicting Health Risks of Adult Asthmatics Susceptible to Indoor Air Quality Using Improved Logistic and Quantile Regression Models. Life 2022;12(10):1631
    CrossRef