Digital Health
Keywords:
-Abstract
-
Downloads
References
Digital health. Wikipedia. https://en.wikipedia.org/wiki/Digital_health. Accessed January 19, 2020.
Senanarong V, Luasinsap Ch, Bovornkitti S. Artificial Intelligence and Precision Medicine. Thammasat Med J. 2018;18:687-694.
Hussain W, Goddard A, Joshi I. AI and healthcare. Commentary; December, 2019:10-11.
Himathongkam T, Luasinsap Ch, Bovornkitti S. Artificial Pancreas and Diabetes Mellitus. Buddhachinaraj Med J. 2016;33:152-155.
Soto F, Chrostowski R. Frontiers of Medical Micro/Nanorobotics: in vivo Applications and Commercialization Perspectives Toward Clinical Uses. Bioeng. Biotechnol. 2018;6:1-12. doi: 10.3389/fbioe.2018.00170.
Bovornkitti S. Further on CRISPR gene editing. Thamasat Med J. 2020;20(2):192-193.
Dileep G. Imagine a robot capable of treating Ebola patients or cleaning up nuclear waste. http://www.weforum.org. Accessed January 30, 2016.
Northstar AI Explorer. What is a content-enabled medical imaging console?. https://www.terarecon.com/northstar?gold=EAlalQobChMiiMuXqlCQ5wlVDA4rCh0KrQGBEAAYBCAAEgKtavD_BwE. Accessed January 19, 2020.
Mohammadpour RA, Abedi SM, Bagheri S, Ghaemian A. Fuzzy rule-based classification system for assessing coronary artery disease. Computational and Mathematical Methods in Medicine. 2015;2015:1-8. doi: org/10.1155/2015/564867.
De Castro A, Benito A, Manzanera S, et al. Three-Dimensional Cataract Crystalline Lens Imaging With Swept-Source Optical Coherence Tomography. Investigative Ophthalmology & Visual Sci. 2018;59:897-903. doi: 10.1167/iovs.17-23596.
Brunoa G, Fiori A. MicroClAn: Microarray clustering analysis. Journal of Parallel and Distributed Computing. 2013;73(3):360-370.
McCulloch WS, Pitts WS. A Logical Calculus of the Ideas Immanent in Nervous Activity. Bulletin of Mathematical Biophysics. 1990;5:115-133.
Junsawang P, Phimoltares S, Lursinsap C. Streaming chunk incremental learning for class-wise data stream classification with fast learning speed and low structural complexity. PLoSONE. 2019;14(9):1-20. doi: 10.1371/journal.pone.0220624.
Thakong M, Phimoltares S, Jaiyen S, Lursinsap C. Fast Learning and Testing for Imbalanced Multi-Class Changes in Streaming Data by Dynamic Multi-Stratum Network. IEEE Access. 2017;5:10633-10648.
Wikipedia. eHealth. https://wikipedia.org/wiki/EHealth. Accessed March 21, 2020.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.