Research Article
Clinical Decision Support System for Diabetes Based on Ontology Reasoning and TOPSIS Analysis
Table 11
Survey of “Patient-Centered Treatment Decision Support System for Diabetes Based on Fuzzy Logic and Domain Ontology”.
| Question | Scoring | 1 | 2 | 3 | 4 | 5 |
| What do you think about “Patient ideal HbA1c target inference”? Are you satisfied with its accuracy? | Is the “Method 1: Safety fuzzy rules” accurate? | □ | □ | □ | □ | □ | Are you satisfied with the results of the “Method 1: Safety fuzzy rules”? | □ | □ | □ | □ | □ | Is the “Method 2: Positivity fuzzy rules” accurate? | □ | □ | □ | □ | □ | Are you satisfied with the results of the “Method 2: Positivity fuzzy rules”? | □ | □ | □ | □ | □ | What do you think about “Antidiabetic medications reasoning and ranking”? Are you satisfied with its accuracy? | Is the “Antidiabetic medications reasoning and ranking” accurate? | □ | □ | □ | □ | □ | Are you satisfied with the results of the “Antidiabetic medications reasoning and ranking”? | □ | □ | □ | □ | □ | Do you think the system can provide some benefits for you? | Using the system improves my performance in my job. | □ | □ | □ | □ | □ | Using the system enhances my effectiveness in my job. | □ | □ | □ | □ | □ | I find the system to be useful in my job. | □ | □ | □ | □ | □ | If this system used in conjunction with the actual work, would you continue to use this system at work? | I enjoy using this system at work. | □ | □ | □ | □ | □ | I will frequently use this system in the future. | □ | □ | □ | □ | □ | I will strongly recommend to others to use this system. | □ | □ | □ | □ | □ |
|
|
Title: ○Endocrinologists ○Attending physicians ○Resident physicians Gender: ○Male ○Female E-mail:
|