Sentiment analysis for text classification generally refers to assessing the polarity of the emotional context of written text, whether in a binary (e.g. positive or nega[...]

The increasing performance of feature extraction and regression modeling in various domains raises the hope for machine and deep learning to assist clinicians in numerous[...]

Many studies have proved that the rise in obesity among the world population is due to an increase in calorie intake coupled with a lack of adequate physical activity. Fo[...]

Wearable technology became popular not only in the consumer market, but also in the field of academic research. Studies related to smart wearables have increased dramatic[...]

Emergency medical services (EMS); commonly referred to as ambulance, paramedic or pre-hospital emergency services, are a critical component in the delivery of urgent medi[...]

Recent research development has demonstrated the advantages of deep learning models in prediction tasks on electronic health records (EHR) in the medical domain. However,[...]

To improve the quality and consistency of health care, evidence-based medicine (EBM) was proposed to promote the wide adoption of current best evidence to make decisions [...]

Background: Social media plays a critical role in health communications, especially during global health emergencies such as the current COVID-19 pandemic. However, there[...]

Community obesity outcomes can reflect the food environment to which the community belongs. Recent studies have suggested that the local food environment can be measured [...]

Understanding and characterizing cancer patient outcomes is challenging and involves multiple clinical measurements (e.g., imaging and genomics biomarkers). Enabling mult[...]