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Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic.

IEEE journal of biomedical and health informatics
People across the globe have felt and are still going through the impact of COVID-19. Some of them share their feelings and suffering online via different online social media networks such as Twitter. Due to strict restrictions to reduce the spread o...

Powerful tool or too powerful? Early public discourse about ChatGPT across 4 million tweets.

PloS one
BACKGROUND: This paper investigates initial exuberance and emotions surrounding ChatGPT's first three months of launch (1 December 2022-1 March 2023). The impetus for studying active discussions surrounding its implications, fears, and opinions is mo...

Generative artificial intelligence chatbots may provide appropriate informational responses to common vascular surgery questions by patients.

Vascular
OBJECTIVES: Generative artificial intelligence (AI) has emerged as a promising tool to engage with patients. The objective of this study was to assess the quality of AI responses to common patient questions regarding vascular surgery disease processe...

Tracking mosquito-borne diseases via social media: a machine learning approach to topic modelling and sentiment analysis.

PeerJ
Mosquito-borne diseases (MBDs) are a major threat worldwide, and public consultation on these diseases is critical to disease control decision-making. However, traditional public surveys are time-consuming and labor-intensive and do not allow for tim...

Analysis of the hikikomori phenomenon - an international infodemiology study of Twitter data in Portuguese.

BMC public health
BACKGROUND: Hikikomori refers to the extreme isolation of individuals in their own homes, lasting at least six months. In recent years social isolation has become an important clinical, social, and public health problem, with increased awareness of h...

[Feeling analysis on allergen immunotherapy on using an unsupervised machine learning model].

Revista alergia Mexico (Tecamachalco, Puebla, Mexico : 1993)
OBJECTIVE: Analyze feelings about allergen-specific immunotherapy on using the VADER model VADER () model.

Use of Health Belief Model-based Deep Learning to Understand Public Health Beliefs in Breast Cancer Screening from Social Media before and during the COVID-19 Pandemic.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Breast cancer is the second leading cause of cancer death for women in the United States. While breast cancer screening participation is the most effective method for early detection, screening rate has remained low. Given that understanding health p...

Graph global attention network with memory: A deep learning approach for fake news detection.

Neural networks : the official journal of the International Neural Network Society
With the proliferation of social media, the detection of fake news has become a critical issue that poses a significant threat to society. The dissemination of fake information can lead to social harm and damage the credibility of information. To add...

How satisfied are patients with nursing care and why? A comprehensive study based on social media and opinion mining.

Informatics for health & social care
To assess the overall experience of a patient in a hospital, many factors must be analyzed; nonetheless, one of the key aspects is the performance of nurses as they closely interact with patients on many occasions. Nurses carry out many tasks that co...

Depression detection for twitter users using sentiment analysis in English and Arabic tweets.

Artificial intelligence in medicine
Since depression often results in suicidal thoughts and leaves a person severely disabled daily, there is an elevated risk of premature mortality due to mental problems caused by depression. Therefore, it's crucial to identify the patient's mental il...