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index.Rmd
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---
title: "Aldilas Achmad Nursetyo"
image: "profil_picture.jpg"
links:
- label: LinkedIn
url: "https://linkedin.com/in/aldilas-achmad-nursetyo/"
- label: Twitter
url: "https://twitter.com/aldilasachmad"
- label: GitHub
url: "https://github.com/aldeetropolis"
- label: Email
url: "mailto:[email protected]"
output:
postcards::trestles
site: distill::distill_website
---
## Bio
Since 2017, Aldilas has been actively involved in contribute and developing at national and regional level, either academically or direct consultancy. He has experience in developing monitoring and evaluation system in National Family Planning Coordinating Agency (BKKBN) and strengthening national disease surveillance system, especially for early warning and response system (EWARS). He also experienced in research methodology, either quantitative or qualitative methodology, while demonstrating excelence scientific writing and publication experience. Currently, he is active as researcher in Center for Health Policy and Management, Universitas Gadjah Mada, Indonesia.
***
## Education
**Taipei Medical University** | Taipei, TW
M.Sc. (Biomedical Informatics) | 2017 - 2019
**Universitas Muhammadiyah Yogyakarta** | Yogyakarta, ID
B.Sc. in Medicine & M.D. (Medical Doctor) | 2007 - 2015
***
## Experience
**Center for Health Policy & Management, Universitas Gadjah Mada**
Researcher | 2016-present
**World Bank Group**
Consultant | 2021-present
**Apotek Viva Generik**
General Practitioner | 2020-2021
**International Center for Health Information Technology, Taipei Medical University**
Research Assistant | 2018-2019
**RSUD Inche Abdoel Moeis, Kota Samarinda**
Internship Medical Doctor | 2015-2016
***
## Publication
Rahmanti, A. R., Yang, H.-C., Bintoro, B. S., Nursetyo, A. A., Muhtar, M. S., Syed-Abdul, S., & Li, Y.-C. J. (2022). SlimMe, a Chatbot With Artificial Empathy for Personal Weight Management: System Design and Finding. Frontiers in Nutrition, 9, 870775. [doi](https://doi.org/10.3389/fnut.2022.870775)
Rahmanti, A. R., Chien, C.-H., Nursetyo, A. A., Husnayain, A., Wiratama, B. S., Fuad, A., Yang, H.-C., & Li, Y.-C. J. (2022). Social media sentiment analysis to monitor the performance of vaccination coverage during the early phase of the national COVID-19 vaccine rollout. Computer Methods and Programs in Biomedicine, 221, 106838. [doi](https://doi.org/10.1016/j.cmpb.2022.106838)
Nanda, R. O., Nursetyo, A. A., Ramadona, A. L., Imron, M. A., Fuad, A., Setyawan, A., & Ahmad, R. A. (2022). Community Mobility and COVID-19 Dynamics in Jakarta, Indonesia. International Journal of Environmental Research and Public Health, 19(11), 6671. [doi](https://doi.org/10.3390/ijerph19116671)
Hardhantyo, M., Djasri, H., Nursetyo, A. A., Yulianti, A., Adipradipta, B. R., Hawley, W., Mika, J., Praptiningsih, C. Y., Mangiri, A., Prasetyowati, E. B., & Brye, L. (2022). Quality of National Disease Surveillance Reporting before and during COVID-19: A Mixed-Method Study in Indonesia. International Journal of Environmental Research and Public Health, 19(5), 2728. [doi](https://doi.org/10.3390/ijerph19052728)
Dovgan, E., Gradišek, A., Luštrek, M., Uddin, M., Nursetyo, A. A., Annavarajula, S. K., Li, Y.-C., & Syed-Abdul, S. (2020). Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients. PLOS ONE, 15(6), e0233976. [doi](https://doi.org/10.1371/journal.pone.0233976)
Syed-Abdul, S., Malwade, S., Nursetyo, A. A., Sood, M., Bhatia, M., Barsasella, D., Liu, M. F., Chang, C.-C., Srinivasan, K., M., R., & Li, Y.-C. J. (2019). Virtual reality among the elderly: A usefulness and acceptance study from Taiwan. BMC Geriatrics, 19(1), 223. [doi](https://doi.org/10.1186/s12877-019-1218-8)
Nursetyo, A. A., Syed-Abdul, S., Uddin, M., & Li, Y.-C. J. (2019). Graft Rejection Prediction Following Kidney Transplantation Using Machine Learning Techniques: A Systematic Review and Meta-Analysis. Studies in Health Technology and Informatics, 264, 10–14. [doi](https://doi.org/10.3233/SHTI190173)
Putra, F. R., Nursetyo, A. A., Thakur, S. S., Roy, R. B., Syed-Abdul, S., Malwade, S., & Li, Y.-C. J. (2019). Prediction of Clinical Events in Hemodialysis Patients Using an Artificial Neural Network. Studies in Health Technology and Informatics, 264, 1570–1571. [doi](https://doi.org/10.3233/SHTI190539)
Thakur, S. S., Abdul, S. S., Chiu, H.-Y. (Shannon), Roy, R. B., Huang, P.-Y., Malwade, S., Nursetyo, A. A., & Li, Y.-C. (Jack). (2018). Artificial-Intelligence-Based Prediction of Clinical Events among Hemodialysis Patients Using Non-Contact Sensor Data. Sensors, 18(9), 2833. [doi](https://doi.org/10.3390/s18092833)
Ganapathy, K., Abdul, S., & Nursetyo, A. (2018). Artificial intelligence in neurosciences: A clinician’s perspective. Neurology India, 66(4), 934. [doi](https://doi.org/10.4103/0028-3886.236971)
Malwade, S., Abdul, S. S., Uddin, M., Nursetyo, A. A., Fernandez-Luque, L., Zhu, X. (Katie), Cilliers, L., Wong, C.-P., Bamidis, P., & Li, Y.-C. (Jack). (2018). Mobile and wearable technologies in healthcare for the ageing population. Computer Methods and Programs in Biomedicine, 161, 233–237. [doi](https://doi.org/10.1016/j.cmpb.2018.04.026)
Nurwanti, E., Uddin, M., Chang, J.-S., Hadi, H., Syed-Abdul, S., Su, E., Nursetyo, A., Masud, J., & Bai, C.-H. (2018). Roles of Sedentary Behaviors and Unhealthy Foods in Increasing the Obesity Risk in Adult Men and Women: A Cross-Sectional National Study. Nutrients, 10(6), 704. [doi](https://doi.org/10.3390/nu10060704)