Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 11.05.18 in Vol 6, No 2 (2018): Apr-Jun

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

Works citing "The Importance of Nonlinear Transformations Use in Medical Data Analysis"

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.7992):

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

  1. Pandya S, Zeighami Y, Freeze B, Dadar M, Collins D, Dagher A, Raj A. Predictive model of spread of Parkinson's pathology using network diffusion. NeuroImage 2019;192:178
    CrossRef
  2. Sunderaraman P, Maidan I, Kozlovski T, Apa Z, Mirelman A, Hausdorff JM, Stern Y. Differential Associations Between Distinct Components of Cognitive Function and Mobility: Implications for Understanding Aging, Turning and Dual-Task Walking. Frontiers in Aging Neuroscience 2019;11
    CrossRef
  3. Naqvi SR, Roman A, Akram T, Alhaisoni MM, Naeem M, Haider SA, Chughtai O, Awais M. An Optimization Framework for Codes Classification and Performance Evaluation of RISC Microprocessors. Symmetry 2019;11(7):938
    CrossRef
  4. Zysberg L, Band-Winterstein T, Doron I, Shulyaev K, Siegel EO, Kornas-Biela D, Zisberg A. The health care aide position in nursing homes: A comparative survey of nurses’ and aides’ perceptions. International Journal of Nursing Studies 2019;94:98
    CrossRef
  5. Ben-Zion Z, Zeevi Y, Keynan NJ, Admon R, Kozlovski T, Sharon H, Halpern P, Liberzon I, Shalev AY, Benjamini Y, Hendler T. Multi-domain potential biomarkers for post-traumatic stress disorder (PTSD) severity in recent trauma survivors. Translational Psychiatry 2020;10(1)
    CrossRef
  6. Mitelpunkt A, Galili T, Kozlovski T, Bregman N, Shachar N, Markus-Kalish M, Benjamini Y. Novel Alzheimer’s disease subtypes identified using a data and knowledge driven strategy. Scientific Reports 2020;10(1)
    CrossRef
  7. Stewart BT, Carrougher GJ, Curtis E, Schneider JC, Ryan CM, Amtmann D, Gibran NS. Mortality prognostication scores do not predict long-term, health-related quality of life after burn: A burn model system national database study. Burns 2021;47(1):42
    CrossRef
  8. Wang M, Lee C, Wang W, Yang Y, Yang C, Jiang Y. Early Warning of Infectious Diseases in Hospitals Based on Multi-Self-Regression Deep Neural Network. Journal of Healthcare Engineering 2022;2022:1
    CrossRef
  9. Feng J, Zhang S, Chen L, Zuo C. Detection of Alzheimer’s disease using features of brain region-of-interest-based individual network constructed with the sMRI image. Computerized Medical Imaging and Graphics 2022;98:102057
    CrossRef
  10. Zhang Y, Zeng H, Zhou H, Li J, Wang T, Guo Y, Cai L, Hu J, Zhang X, Chen G. Predicting the Outcome of Patients with Aneurysmal Subarachnoid Hemorrhage: A Machine-Learning-Guided Scorecard. Journal of Clinical Medicine 2023;12(22):7040
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/medinform.7992):

  1. Arslan Y, Lebichot B, Allix K, Veiber L, Lefebvre C, Boytsov A, Goujon A, Bissyandé TF, Klein J. Machine Learning and Knowledge Extraction. 2022. Chapter 5:68
    CrossRef