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Items: 7


Prediction of Clinical Events in Hemodialysis Patients Using an Artificial Neural Network.

Putra FR, Nursetyo AA, Thakur SS, Roy RB, Syed-Abdul S, Malwade S, Li YJ.

Stud Health Technol Inform. 2019 Aug 21;264:1570-1571. doi: 10.3233/SHTI190539.


Graft Rejection Prediction Following Kidney Transplantation Using Machine Learning Techniques: A Systematic Review and Meta-Analysis.

Nursetyo AA, Syed-Abdul S, Uddin M, Li YJ.

Stud Health Technol Inform. 2019 Aug 21;264:10-14. doi: 10.3233/SHTI190173.


Virtual reality among the elderly: a usefulness and acceptance study from Taiwan.

Syed-Abdul S, Malwade S, Nursetyo AA, Sood M, Bhatia M, Barsasella D, Liu MF, Chang CC, Srinivasan K, M R, Li YJ.

BMC Geriatr. 2019 Aug 19;19(1):223. doi: 10.1186/s12877-019-1218-8.


Artificial-Intelligence-Based Prediction of Clinical Events among Hemodialysis Patients Using Non-Contact Sensor Data.

Thakur SS, Abdul SS, Chiu HS, Roy RB, Huang PY, Malwade S, Nursetyo AA, Li YJ.

Sensors (Basel). 2018 Aug 27;18(9). pii: E2833. doi: 10.3390/s18092833.


Artificial intelligence in neurosciences: A clinician's perspective.

Ganapathy K, Abdul SS, Nursetyo AA.

Neurol India. 2018 Jul-Aug;66(4):934-939. doi: 10.4103/0028-3886.236971. Review.


Roles of Sedentary Behaviors and Unhealthy Foods in Increasing the Obesity Risk in Adult Men and Women: A Cross-Sectional National Study.

Nurwanti E, Uddin M, Chang JS, Hadi H, Syed-Abdul S, Su EC, Nursetyo AA, Masud JHB, Bai CH.

Nutrients. 2018 May 31;10(6). pii: E704. doi: 10.3390/nu10060704.


Mobile and wearable technologies in healthcare for the ageing population.

Malwade S, Abdul SS, Uddin M, Nursetyo AA, Fernandez-Luque L, Zhu XK, Cilliers L, Wong CP, Bamidis P, Li YJ.

Comput Methods Programs Biomed. 2018 Jul;161:233-237. doi: 10.1016/j.cmpb.2018.04.026. Epub 2018 Apr 30.


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