A probabilistic semantic analysis of eHealth scientific literature.
George DrosatosEleni KaldoudiPublished in: Journal of telemedicine and telecare (2019)
Trends analysis shows a continuous shift in focus. Early emphasis on medical image transmission and system integration has been replaced by increased focus on standards, wearables and sensor devices, now giving way to mobile applications, social media and data analytics. Attention on disease is also shifting, from initial popularity of surgery, trauma and acute heart disease, to the emergence of chronic disease support, and the recent attention to cancer, infectious disease, mental disorders, paediatrics and perinatal care; most interestingly the current swift increase is in research related to lifestyle and behaviour change. The steady growth of all topics related to assessment and various systematic evaluation techniques indicates a maturing research field that moves towards real world application.
Keyphrases
- social media
- infectious diseases
- healthcare
- working memory
- big data
- health information
- minimally invasive
- systematic review
- liver failure
- palliative care
- papillary thyroid
- metabolic syndrome
- pregnant women
- drug induced
- deep learning
- type diabetes
- electronic health record
- quality improvement
- machine learning
- respiratory failure
- weight loss
- squamous cell carcinoma
- artificial intelligence
- acute coronary syndrome
- pain management