Page 79 - 22-0424
P. 79

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



                Navis GJ, Blankestijn PJ, Deegens J, de Fijter JW, van der Heide JJH, Rabelink T,
                        et al. The biobank of nephrological diseases in the Netherlands cohort:
                        the String of Pearls Initiative collaboration on chronic kidney disease

                        in the university medical centers in the Netherlands. Nephrol Dial
                        Transplant. 2014;29(6):1145–1150. doi:10.1093/ndt/gft307

                Neyra JA and Tolwani AJ. A quality improvement initiative targeting CRRT
                        delivered dose: the what, the how, and the why. Am J Kidney Dis. 2019;
                        74:721–723. doi:10.1053/j.ajkd.2019.08.015.
                National Health Security Office (NHSO) Annual Report 2018 [Internet]. National
                        Health Security Office (NHSO); 2018 [cited 2021 Mar 10]. Available from:
                        http://eng.nhso.go.th/assets/portals/1/files/annual_report/Annual%20
                        report_final%202018.pdf

                Niel O and Bastard P. Artificial intelligence in nephrology: core concepts, clinical
                        applications, and perspectives. Am J Kidney Dis. 2019;74:803–810.

                        doi:10.1053/j.ajkd.2019.05.020.
                Parreco J, Soe-Lin H, Parks JJ, Byerly S, Chatoor M, Buicko JL, et al. Comparing
                        machine learning algorithms for predicting acute kidney injury. Am Surg.
                        2019;85:725–729.

                Pekowska A, Benoukraf T, Ferrier P, Spicuglia S. A unique H3K4me2 profile marks
                        tissue-specific gene regulation. Genome Res. 2010;20:1493–1502. doi:10.1101/
                        gr.109389.110.

                Porter CJ, Juurlink I, Bisset LH, Bavakunji R, Mehta RL, Devonald MA. A real-time
                        electronic alert to improve detection of acute kidney injury in a large
                        teaching hospital. Nephrol Dial Transplant. 2014;29:18881893. doi:10.1093/
                        ndt/gfu082.

                Putra FR, Nursetyo AA, Thakur SS, Roy RB, Syed-Abdul S, Malwade S, et al.
                        Prediction of Clinical Events in Hemodialysis Patients Using an Artificial
                        Neural Network. In: Ohno-Machado L, Séroussi B, editors. MEDINFO
                        2019: Health and Wellbeing e-Networks for All: Studies in Health
                        Technology and Informatics. 264. Amsterdam: IOS Press Ebooks; 2019.
                        p. 1570–1571.








                     Phatadon Sirivongrangson
                     Nattachai Srisawat                                                             73



                                                                                                  11/7/2565 BE   13:28
       _22-0424(055-076)7.indd   73                                                               11/7/2565 BE   13:28
       _22-0424(055-076)7.indd   73
   74   75   76   77   78   79   80   81   82   83   84