AIMC Topic: Social Media

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

Vascular Mar 18, 2024
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...
Surveys and Questionnaires Generative Artificial Intelligence Health Knowledge, Attitudes, Practice Humans Artificial Intelligence Comprehension Vascular Surgical Procedures Health Literacy Social Media Patient Education as Topic
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Tracking mosquito-borne diseases via social media: a machine learning approach to topic modelling and sentiment analysis.

PeerJ Mar 1, 2024
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...
Vector Borne Diseases Mosquito-Borne Diseases Algorithms Animals Culicidae Public Opinion Social Media Humans Machine Learning
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Analysis of the hikikomori phenomenon - an international infodemiology study of Twitter data in Portuguese.

BMC public health Feb 19, 2024
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...
Social Media Phobia, Social Portugal Infodemiology Artificial Intelligence Humans Shame Language
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[Feeling analysis on allergen immunotherapy on using an unsupervised machine learning model].

Revista alergia Mexico (Tecamachalco, Puebla, Mexico : 1993) Feb 1, 2024
OBJECTIVE: Analyze feelings about allergen-specific immunotherapy on using the VADER model VADER () model.
Emotions Social Media Unsupervised Machine Learning Humans Desensitization, Immunologic
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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 Jan 11, 2024
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...
Social Media Health Belief Model United States COVID-19 Deep Learning Breast Neoplasms Humans Early Detection of Cancer Female Public Health Pandemics
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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 Jan 8, 2024
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...
Deep Learning Gene Regulatory Networks Natural Language Processing Social Media Humans Disinformation
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How satisfied are patients with nursing care and why? A comprehensive study based on social media and opinion mining.

Informatics for health & social care Jan 4, 2024
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...
Patient Satisfaction Patients Surveys and Questionnaires Social Media Sentiment Analysis Humans
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Depression detection for twitter users using sentiment analysis in English and Arabic tweets.

Artificial intelligence in medicine Nov 19, 2023
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...
Sentiment Analysis Social Media Happiness Language Depression Humans
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Identifying self-disclosed anxiety on Twitter: A natural language processing approach.

Psychiatry research Nov 3, 2023
BACKGROUND: Text analyses of social media posts are a promising source of mental health information. This study used natural language processing to explore distinct language patterns on Twitter related to self-reported anxiety diagnosis.
Humans Anxiety Disorders Natural Language Processing Anxiety Bayes Theorem Social Media
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Content framing role on public sentiment formation for pre-crisis detection on sensitive issue via sentiment analysis and content analysis.

PloS one Oct 18, 2023
Social media has been tremendously used worldwide for a variety of purposes. Therefore, engagement activities such as comments have attracted many scholars due its ability to reveal many critical findings, such as the role of users' sentiment. Howeve...
Humans Software Attitude Sentiment Analysis Emotions Social Media
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