| dc.contributor | 應數系 | |
| dc.creator (作者) | 陸行 | |
| dc.creator (作者) | Luh, Hsing | |
| dc.creator (作者) | Wan, Thomas T H;Matthews, Sarah;Zeng, Yong;Wang, Zhibo;Yang, Lin | |
| dc.date (日期) | 2022-03 | |
| dc.date.accessioned | 2022-10-07 | - |
| dc.date.available | 2022-10-07 | - |
| dc.date.issued (上傳時間) | 2022-10-07 | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/142232 | - |
| dc.description.abstract (摘要) | There are several challenges in diabetes care management including optimizing the currently used therapies, educating patients on selfmanagement, and improving patient lifestyle and systematic healthcare barriers. The purpose of performing a systems approach to implementation science aided by artificial intelligence techniques in diabetes care is two-fold: 1) to explicate the systems approach to formulate predictive analytics that will simultaneously consider multiple input and output variables to generate an ideal decision-making solution for an optimal outcome; and 2) to incorporate contextual and ecological variations in practicing diabetes care coupled with specific health educational interventions as exogenous variables in prediction. A similar taxonomy of modeling approaches proposed by Brennon et al (2006) is formulated to examining the determinants of diabetes care outcomes in program evaluation. The discipline-free methods used in implementation science research, applied to efficiency and quality-of-care analysis are presented. Finally, we illustrate a logically formulated predictive analytics with efficiency and quality criteria included for evaluation of behavioralchange intervention programs, with the time effect included, in diabetes care and research. | |
| dc.format.extent | 105 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Health Services Research and Managerial Epidemiology | |
| dc.subject (關鍵詞) | multi-criteria optimization; predictive analytics; discipline-free statistical methods; simulation modeling; multi-wave data analysis; time effect; diabetes care outcomes | |
| dc.title (題名) | A Proposed Multi-Criteria Optimization Approach to Enhance Clinical Outcomes Evaluation for Diabetes Care: A Commentary | |
| dc.type (資料類型) | article | |
| dc.identifier.doi (DOI) | 10.1177/23333928221089125 | |
| dc.doi.uri (DOI) | https://doi.org/10.1177/23333928221089125 | |
