Table 3.
Basic features related to social big data applications in health care area.
| Authors | Ref. num. | Summary | Methods |
|---|---|---|---|
| Culotta | [110] | Track and predict outbreak detection using Twitter | Classification (regression models) |
| Aramaki et al. | [111] | Classify tweets related to influenza | Classification |
| Bodnar and Salathé | [112] | Assess disease outbreaks from tweets | Regression methods |
| Fisichella et al. | [113] | Detect public health events | Modelling trajectory distributions |
| GPHIN | [115] | Identify information about disease outbreaks and other events related to public healthcare | Classification documents for relevance |
| BioCaster | [116] | Monitoring online media data related to diseases, viruses, bacteria, locations and symptoms | Topic classification, named entity recognition, event recognition |
| HealthMap | [117] | Global disease alert map | Mapping techniques |
| EpiSpider | [118] | Human and animal disease alert map | Topic and location detection |