An apriori algorithm-based association rule analysis to detect human suicidal behaviour
Suicide is a major cause of death. It is also a complex public health issue and often
preventable with timely intervention. Overall, the rate of suicide is increasing for various …
preventable with timely intervention. Overall, the rate of suicide is increasing for various …
Diabetes prediction in healthcare at early stage using machine learning approach
Diabetes mellitus is a perdurable hyperglycemic disease. Various complications can be
caused by this disease. In line with the growing morbidness in the last few years, 642 million …
caused by this disease. In line with the growing morbidness in the last few years, 642 million …
Development of a smartphone-based expert system for COVID-19 risk prediction at early stage
COVID-19 has imposed many challenges and barriers on traditional healthcare systems due
to the high risk of being infected by the coronavirus. Modern electronic devices like …
to the high risk of being infected by the coronavirus. Modern electronic devices like …
Supporting youth with autism learning social competence: A comparison of game-and nongame-based activities in 3D virtual world
This study explored youth with Autism Spectrum Disorder (ASD) learning social competence
in the context of innovative 3D virtual learning environment and the effects of gaming as a …
in the context of innovative 3D virtual learning environment and the effects of gaming as a …
Significant association rule mining with high associability
Traditional support-confidence framework based association rule mining approaches often
generate huge number of rules including the insignificant ones. These insignificant …
generate huge number of rules including the insignificant ones. These insignificant …
Efficient machine learning approaches to detect fake news of covid-19
In recent years, the growth of fake news has been significantly high. Advancement in the
field of technology is one of the reasons that lie behind this phenomenon. Fake news are …
field of technology is one of the reasons that lie behind this phenomenon. Fake news are …
Exploring How Healthcare Organizations Use Twitter: A Discourse Analysis
The use of Twitter by healthcare organizations is an effective means of disseminating
medical information to the public. However, the content of tweets can be influenced by …
medical information to the public. However, the content of tweets can be influenced by …
An Investigation And Insight Into Terrorism In Nigeria
Terrorism is one of the most life-challenging threats facing humanity worldwide. The
activities of terrorist organizations threaten peace, disrupts progress, and halt the …
activities of terrorist organizations threaten peace, disrupts progress, and halt the …
A Data Mining Approach to Identify Human Behavior on Different Activities of Student
Human behavior involves a broad range of behaviors cultural elements, arrogances,
feelings, values, integrity, consultant, rapport, hypnosis, influence, coercion, and heredity …
feelings, values, integrity, consultant, rapport, hypnosis, influence, coercion, and heredity …
Social Behavior Prediction using Ensemble Learning Algorithms
M Raihan, N Alvi, AK Bairagi - 2022 13th International …, 2022 - ieeexplore.ieee.org
In this modern era, social media users are spreading daily. Most social media users spend
much time on these platforms daily. While using social networks, people can connect within …
much time on these platforms daily. While using social networks, people can connect within …