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Citing this Article

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Published on 18.04.17 in Vol 19, No 4 (2017): April

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

Works citing "Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients"

Eunjeong Park, Hyuk-Jae Chang, Hyo Suk Nam

J Med Internet Res 2017 (Apr 18); 19(4):e120 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.7092):

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

  1. Du Z, Yang Y, Zheng J, Li Q, Lin D, Li Y, Fan J, Cheng W, Chen X, Cai Y. Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation. JMIR Medical Informatics 2020;8(7):e17257
    CrossRef
  2. Rahman QA, Janmohamed T, Pirbaglou M, Clarke H, Ritvo P, Heffernan JM, Katz J. Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning Methods. Journal of Medical Internet Research 2018;20(11):e12001
    CrossRef
  3. . Artificial intelligence in medicine: What is it doing for us today?. Health Policy and Technology 2019;8(2):198
    CrossRef
  4. Zhang Y, Zhou Y, Zhang D, Song W. A Stroke Risk Detection: Improving Hybrid Feature Selection Method. Journal of Medical Internet Research 2019;21(4):e12437
    CrossRef
  5. . Disability Adjusted Life Years due to Ischaemic Stroke Preventable by Real-Time Stroke Detection—A Cost-Utility Analysis of Hypothetical Stroke Detection Devices. Frontiers in Neurology 2018;9
    CrossRef
  6. Pradeepa S, Manjula KR, Vimal S, Khan MS, Chilamkurti N, Luhach AK. DRFS: Detecting Risk Factor of Stroke Disease from Social Media Using Machine Learning Techniques. Neural Processing Letters 2023;55(4):3843
    CrossRef
  7. Álvarez-Machancoses , DeAndrés Galiana EJ, Cernea A, Fernández Sánchez de la Viña J, Fernández-Martínez JL.

    On the Role of Artificial Intelligence in Genomics to Enhance Precision Medicine

    . Pharmacogenomics and Personalized Medicine 2020;Volume 13:105
    CrossRef
  8. Park E, Lee K, Han T, Nam HS. Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study. Journal of Medical Internet Research 2020;22(9):e20641
    CrossRef
  9. Ma Y, Zhang P, Tang Y, Pan C, Li G, Liu N, Hu Y, Tang Z. Artificial intelligence: The dawn of a new era for cutting-edge technology based diagnosis and treatment for stroke. Brain Hemorrhages 2020;1(1):1
    CrossRef
  10. Luvizutto GJ, Silva GF, Nascimento MR, Sousa Santos KC, Appelt PA, de Moura Neto E, de Souza JT, Wincker FC, Miranda LA, Hamamoto Filho PT, de Souza LAPS, Simões RP, de Oliveira Vidal EI, Bazan R. Use of artificial intelligence as an instrument of evaluation after stroke: a scoping review based on international classification of functioning, disability and health concept. Topics in Stroke Rehabilitation 2022;29(5):331
    CrossRef
  11. Park E, Kim JH, Nam HS, Chang H. Requirement Analysis and Implementation of Smart Emergency Medical Services. IEEE Access 2018;6:42022
    CrossRef
  12. Heo J, Yoo J, Lee H, Lee IH, Kim J, Park E, Kim YD, Nam HS. Prediction of Hidden Coronary Artery Disease Using Machine Learning in Patients With Acute Ischemic Stroke. Neurology 2022;99(1)
    CrossRef
  13. Suri JS, Maindarkar MA, Paul S, Ahluwalia P, Bhagawati M, Saba L, Faa G, Saxena S, Singh IM, Chadha PS, Turk M, Johri A, Khanna NN, Viskovic K, Mavrogeni S, Laird JR, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou AD, Misra DP, Agarwal V, Kitas GD, Kolluri R, Teji JS, Al-Maini M, Dhanjil SK, Sockalingam M, Saxena A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Omerzu T, Naidu S, Nicolaides A, Paraskevas KI, Kalra M, Ruzsa Z, Fouda MM. Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review. Diagnostics 2022;12(7):1543
    CrossRef
  14. Zheng Y, Guo Z, Zhang Y, Shang J, Yu L, Fu P, Liu Y, Li X, Wang H, Ren L, Zhang W, Hou H, Tan X, Wang W. Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine. EPMA Journal 2022;13(2):285
    CrossRef
  15. Shi S, Qie S, Wang H, Wang J, Liu T. Recombination of the right cerebral cortex in patients with left side USN after stroke: fNIRS evidence from resting state. Frontiers in Neurology 2023;14
    CrossRef
  16. Bathla P, Kumar R. A hybrid system to predict brain stroke using a combined feature selection and classifier. Intelligent Medicine 2023;
    CrossRef
  17. Bibbo D, De Marchis C, Schmid M, Ranaldi S. Machine learning to detect, stage and classify diseases and their symptoms based on inertial sensor data: a mapping review. Physiological Measurement 2023;44(12):12TR01
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.7092):

  1. Bayrak EA, Kirci P. Early Detection of Neurological Disorders Using Machine Learning Systems. 2019. chapter 14:252
    CrossRef
  2. Vashistha R, Yadav D, Chhabra D, Shukla P. Leveraging Biomedical and Healthcare Data. 2019. :77
    CrossRef
  3. Bayrak EA, Kirci P. Research Anthology on Big Data Analytics, Architectures, and Applications. 2022. chapter 81:1663
    CrossRef