Deep learning for health informatics
With a massive influx of multimodality data, the role of data analytics in health informatics
has grown rapidly in the last decade. This has also prompted increasing interests in the …
has grown rapidly in the last decade. This has also prompted increasing interests in the …
[HTML][HTML] Social media based surveillance systems for healthcare using machine learning: a systematic review
A Gupta, R Katarya - Journal of biomedical informatics, 2020 - Elsevier
Background Real-time surveillance in the field of health informatics has emerged as a
growing domain of interest among worldwide researchers. Evolution in this field has helped …
growing domain of interest among worldwide researchers. Evolution in this field has helped …
A survey on deep learning for big data
Deep learning, as one of the most currently remarkable machine learning techniques, has
achieved great success in many applications such as image analysis, speech recognition …
achieved great success in many applications such as image analysis, speech recognition …
Collaborative city digital twin for the COVID-19 pandemic: A federated learning solution
J Pang, Y Huang, Z ** behavior during COVID-19 pandemic: A Bangladeshi consumers' perspectives
Background of the study Nowadays, the business pattern is changing globally. The business
organization is influenced customers to purchase their necessary goods and services from …
organization is influenced customers to purchase their necessary goods and services from …
Deep learning in the biomedical applications: Recent and future status
Deep neural networks represent, nowadays, the most effective machine learning technology
in biomedical domain. In this domain, the different areas of interest concern the Omics (study …
in biomedical domain. In this domain, the different areas of interest concern the Omics (study …
A sco** review of the use of Twitter for public health research
Public health practitioners and researchers have used traditional medical databases to
study and understand public health for a long time. Recently, social media data, particularly …
study and understand public health for a long time. Recently, social media data, particularly …
Sosnet: A graph convolutional network approach to fine-grained cyberbullying detection
Amidst the COVID-19 pandemic, cyberbullying has become an even more serious threat.
Our work aims to investigate the viability of an automatic multiclass cyberbullying detection …
Our work aims to investigate the viability of an automatic multiclass cyberbullying detection …
RETRACTED ARTICLE: Recent Deep Learning Techniques, Challenges and Its Applications for Medical Healthcare System: A Review
SK Pandey, RR Janghel - Neural Processing Letters, 2019 - Springer
The concept of deep learning originates from artificial neural networks which has become a
very popular research area during the past few decades. There are two main reasons for for …
very popular research area during the past few decades. There are two main reasons for for …