Читать книгу Semantic Web for Effective Healthcare Systems - Группа авторов - Страница 29
1.6 Dataset Description
ОглавлениеDocument collection like Healthcare service reviews (Dataset DS1) were collected from different social media web sites for 10 different hospitals, as detailed in Tables 1.2 and 1.3.
Table 1.2 Social media reviews for healthcare service (DS1).
Number of reviews | ||
Data source | Positive | Negative |
1200 | 525 | |
Mouthshut.com | 425 | 110 |
BestHospitalAdvisor.com | 200 | 85 |
Google Reviews | 580 | 320 |
Total Reviews | 2405 | 1040 |
Table 1.3 Number of reviews of features and hospitals (DS1).
Features | Reviews |
Cost | 663 |
Medicare | 748 |
Nursing | 776 |
Infrastructure | 554 |
Time | 704 |
Number of reviews | |||
H1 | 596 | H6 | 308 |
H2 | 411 | H7 | 313 |
H3 | 399 | H8 | 297 |
H4 | 227 | H9 | 281 |
H5 | 252 | H10 | 361 |
Table 1.3 shows that 663 reviews were collected for the feature “cost,” and 596 reviews were collected for the hospital H1. The list of features is identified from the previous work, related articles, and social media websites. For example, the document [62] clearly identified the necessary criteria for healthcare services. The expectations of patients such as cost, hospital characteristics, infrastructure facility, recommendations by other users, treatment and nursing care, and medical expertise were clearly mentioned in the article [63]. Features were also selected by referring web sites like, BestHospitalAdvisor, Mouthshut.com, webometrics, and so on. The comments given by patients or by their care takers in these websites were analyzed for different features of healthcare services of these different hospitals.