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The International Journal of the Royal Society of Thailand
              Volume XI - 2019



              References

              Digital health [Internet]. 2019 [cited 2020 Jan 19]. Available from: https://en.wikipedia.
                      org/wiki/Digital_health.

              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:
                      pp. 10–11.
              Himathongkam T, Lursinsap Ch, Bovornkitti S. Artificial pancreas and diabetes
                      Mellitus. Buddhachinaraj Med J. 2016; 33: 152–155.

              Soto F and Chrostowski R. Frontiers of Medical Micro/Nanorobotics: in vivo
                      Applications and Commercialization Perspectives Toward Clinical Uses.
                      [cited 2020 Mar 22]. Avialable from: https://www.frontiersin.org/articles/
                      10.3389/ fbioe.2018.00170/full

              National Center for Biotechnology Information. PubChem Database. Ivermectin
                      B1b, CID=6321425. 2020 Mar 21 [cited 2020 Mar 26]. Available from: https://
                      pubchem.ncbi.nlm.nih.gov/ compound/Ivermectin-B1b
              Bovornkitti S. Further on CRISPR gene editing. Thammasat Med J. 2020;20 (in print).

              Mohammadpour RA, Abedi SM, Bagheri S, Ghaemian A. Fuzzy rule-based
                      classification system for assessing coronary artery disease. Comput Math
                      Methods Med. 2015;2015:564867. doi:10.1155/ 2015/564867.

              de Castro A, Benito A, Manzanera S, Mompean J, Canizares B, Martinez D, et al.
                      Three-dimensional cataract crystalline lens imaging with swept-source
                      optical coherence tomography. Invest Ophthalmol Vis Sci. 2018;59:897–903.
                      doi:10.1167/iovs.17-23596.

              McCulloch WS and Pitts WH. A logical calculus of the ideas immanent in nervous
                      activity. 1943. Bull Math Biol. 1990;52(1–2):99–115.
              Junsawang P, Phimoltares S, Lursinsap Ch. Streaming chunk incremental learning
                      for class-wise data stream classification with fast learning speed and low
                      structural complexity. PLoS ONE. 2019;14(9):e0220624. 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 2017;5:10633–10648.



              10                                                   Digital Health and Precision Medicine




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