[HTML][HTML] Detecting suicidality on social media: Machine learning at rescue
The rise in technological advancements and Social Networking Sites (SNS) made people
more engaged in their virtual lives. Research has revealed that people feel more …
more engaged in their virtual lives. Research has revealed that people feel more …
[HTML][HTML] Applied machine learning to analyze and predict CO2 adsorption behavior of metal-organic frameworks
X Li, X Zhang, J Zhang, J Gu, S Zhang, G Li… - Carbon Capture Science …, 2023 - Elsevier
Abstract Machine learning provides new insights for designing MOFs with high CO 2
adsorption capacity and understanding the CO 2 adsorption mechanism. In this work, 348 …
adsorption capacity and understanding the CO 2 adsorption mechanism. In this work, 348 …
Stacked deep dense neural network model to predict alzheimer's dementia using audio transcript data
Alzheimer's disease (AD) is caused by cortical degeneration leading to memory loss and
dementia. A possible criterion for the early identification of Alzheimer's dementia is to identify …
dementia. A possible criterion for the early identification of Alzheimer's dementia is to identify …
Stacked CNN-LSTM approach for prediction of suicidal ideation on social media
The growing use of social media forums to express suicidal ideation creates an immense
requirement for automatic recognition of suicidal posts. Individuals use social forums to …
requirement for automatic recognition of suicidal posts. Individuals use social forums to …
[PDF][PDF] Quantifying suicidal ideation on social media using machine learning: a critical review
Suicidal ideation is one of the severe mental health issues and a serious social problem
faced by our society. This problem has been usually dealt with through the psychological …
faced by our society. This problem has been usually dealt with through the psychological …
A hybrid deep learning model using grid search and cross-validation for effective classification and prediction of suicidal ideation from social network data
Suicide deaths due to depression and mental stress are growing rapidly at an alarming rate.
People freely express their feelings and emotions on social network sites while they feel …
People freely express their feelings and emotions on social network sites while they feel …
[HTML][HTML] Gender-specific factors of suicidal ideation among high school students in Yunnan province, China: A machine learning approach
R Li, R Deng, T Song, Y **ao, Q Wang, Z Fang… - Journal of Affective …, 2024 - Elsevier
Background Suicidal ideation (SI) assumes a pivotal role in predicting suicidal behaviors.
The incidence of SI among high (junior and senior) school students is significantly higher …
The incidence of SI among high (junior and senior) school students is significantly higher …
[HTML][HTML] Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study
Background Studying the impact of COVID-19 on mental health is both compelling and
imperative for the health care system's preparedness development. Discovering how …
imperative for the health care system's preparedness development. Discovering how …
Performance evaluation of learning models for identification of suicidal thoughts
The suicidal death rate is growing rapidly. Depression and stress levels among the people
have increased significantly, which is considered to be a risk factor for suicidal thoughts …
have increased significantly, which is considered to be a risk factor for suicidal thoughts …
[PDF][PDF] Performance Evaluation of Deep Dense Layer Neural Network for Diabetes Prediction.
Diabetes is one of the fastest-growing human diseases worldwide and poses a significant
threat to the population's longer lives. Early prediction of diabetes is crucial to taking …
threat to the population's longer lives. Early prediction of diabetes is crucial to taking …