Deep learning for misinformation detection on online social networks: a survey and new perspectives
Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …
become an inseparable part of our daily lives. It is considered as a convenient platform for …
Analysis of deep learning techniques for dental informatics: a systematic literature review
Within the ever-growing healthcare industry, dental informatics is a burgeoning field of study.
One of the major obstacles to the health care system's transformation is obtaining …
One of the major obstacles to the health care system's transformation is obtaining …
A novel automated depression detection technique using text transcript
Depression is one of the most common mental illnesses, impacting billions of people
worldwide. The lack of existing resources is impeding the country's economic prosperity. As …
worldwide. The lack of existing resources is impeding the country's economic prosperity. As …
Analyzing the impact of demographic variables on spreading and forecasting COVID-19
The aim of this study is to analyse the coronavirus disease 2019 (COVID-19) outbreak in
Bangladesh. This study investigates the impact of demographic variables on the spread of …
Bangladesh. This study investigates the impact of demographic variables on the spread of …
Mhivis: Visual analytics for exploring mental illness of policyholders in life insurance industry
Stakeholders such as insurance managers (IMs) in the insurance industry are committed to
yet lack the timely and actionable information for alleviating policyholder's mental health …
yet lack the timely and actionable information for alleviating policyholder's mental health …
Review of automated depression detection: Social posts, audio and video, open challenges and future direction
Depression is the primary cause of illness and injury in the country, with over 280 million
people suffering from it as per the 2021 survey. Depression is one of the most common …
people suffering from it as per the 2021 survey. Depression is one of the most common …
Assessing the acceptance of clinical decision support tools using an integrated technology acceptance model
S Aljarboa, SJ Miah - 2020 IEEE Asia-Pacific Conference on …, 2020 - ieeexplore.ieee.org
With the medical development in recent decades, the multiplicity of different diseases and an
increased number of patients, the use of an advanced healthcare information technology …
increased number of patients, the use of an advanced healthcare information technology …
An integration of UTAUT and task-technology fit frameworks for assessing the acceptance of clinical decision support systems in the context of a developing country
S Aljarboa, SJ Miah - Proceedings of Sixth International Congress on …, 2022 - Springer
This paper is to create a basis of theoretical contribution for a new Ph. D. thesis in the area of
Clinical Decision Support Systems (CDSS) acceptance. Over the past three years, we …
Clinical Decision Support Systems (CDSS) acceptance. Over the past three years, we …
Identifying Heterogeneity of Diabetics Mellitus Based on the Demographical and Clinical Characteristics
Background: Diabetes is a long-term disease, which is characterised by high blood sugar
and has risen as a public health problem worldwide. It may prompt a variety of serious …
and has risen as a public health problem worldwide. It may prompt a variety of serious …
An analysis of depression detection techniques from online social networks
U Bilal, FH Khan - … , INTAP 2019, Bahawalpur, Pakistan, November 6–8 …, 2020 - Springer
Mental illness is caused by depression which may have a deep negative impact on
individuals or on the society as a whole. It is a growing and severe problem which has the …
individuals or on the society as a whole. It is a growing and severe problem which has the …