[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 …

Big data for health

J Andreu-Perez, CCY Poon… - IEEE journal of …, 2015 - ieeexplore.ieee.org
This paper provides an overview of recent developments in big data in the context of
biomedical and health informatics. It outlines the key characteristics of big data and how …

Big data and disaster management: a systematic review and agenda for future research

S Akter, SF Wamba - Annals of Operations Research, 2019 - Springer
The era of big data and analytics is opening up new possibilities for disaster management
(DM). Due to its ability to visualize, analyze and predict disasters, big data is changing the …

A scoping review of the use of Twitter for public health research

O Edo-Osagie, B De La Iglesia, I Lake… - Computers in biology and …, 2020 - Elsevier
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 …

BRITE: An approach to universal topology generation

A Medina, A Lakhina, I Matta… - … 2001, Proceedings Ninth …, 2001 - ieeexplore.ieee.org
Effective engineering of the Internet is predicated upon a detailed understanding of issues
such as the large-scale structure of its underlying physical topology, the manner in which it …

Holistic hospital patient care and management system and method for automated patient monitoring

R Amarasingham, GR Oliver, AR Shah, V Siva… - US Patent …, 2019 - Google Patents
A holistic hospital patient care and management system comprises a data store to receive
and store patient data including clinical and non-clinical data; a plurality of RFID sensors to …

Big data and social media: A scientometrics analysis

H Esfahani, K Tavasoli… - International Journal of …, 2019 - m.growingscience.com
The purpose of this research is to investigate the status and the evolution of the scientific
studies for the effect of social networks on big data and usage of big data for modeling the …

[HTML][HTML] Artificial intelligence and machine learning in chronic airway diseases: focus on asthma and chronic obstructive pulmonary disease

Y Feng, Y Wang, C Zeng, H Mao - International journal of medical …, 2021 - ncbi.nlm.nih.gov
Chronic airway diseases are characterized by airway inflammation, obstruction, and
remodeling and show high prevalence, especially in developing countries. Among them …

Sehaa: A big data analytics tool for healthcare symptoms and diseases detection using Twitter, Apache Spark, and Machine Learning

S Alotaibi, R Mehmood, I Katib, O Rana, A Albeshri - Applied Sciences, 2020 - mdpi.com
Smartness, which underpins smart cities and societies, is defined by our ability to engage
with our environments, analyze them, and make decisions, all in a timely manner …

Modified genetic algorithm-based feature selection combined with pre-trained deep neural network for demand forecasting in outpatient department

S Jiang, KS Chin, L Wang, G Qu, KL Tsui - Expert systems with applications, 2017 - Elsevier
A well-performed demand forecasting can provide outpatient department (OPD) managers
with essential information for staff scheduling and rostering, considering the non-reservation …