AIMC Topic: Consumer Health Informatics

Clear Filters Showing 1 to 10 of 13 articles

Precision in Prevention and Health Surveillance: How Artificial Intelligence May Improve the Time of Identification of Health Concerns through Social Media Content Analysis.

Yearbook of medical informatics
OBJECTIVE: To explore how artificial intelligence (AI) methodologies, particularly through the analysis of social media content, can enhance "precision in prevention and health surveillance" (2024 Yearbook topic). The focus is on leveraging advanced ...

Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health.

International journal of medical informatics
INTRODUCTION: AI is big and moving fast into healthcare, creating opportunities and risks. However, current approaches to governance focus on high-level principles rather than tailored recommendations for specific domains like consumer health. This g...

Artificial Intelligence-Based Consumer Health Informatics Application: Scoping Review.

Journal of medical Internet research
BACKGROUND: There is no doubt that the recent surge in artificial intelligence (AI) research will change the trajectory of next-generation health care, making it more approachable and accessible to patients. Therefore, it is critical to research pati...

Question-driven summarization of answers to consumer health questions.

Scientific data
Automatic summarization of natural language is a widely studied area in computer science, one that is broadly applicable to anyone who needs to understand large quantities of information. In the medical domain, automatic summarization has the potenti...

Artificial Intelligence in Health: New Opportunities, Challenges, and Practical Implications.

Yearbook of medical informatics
OBJECTIVES: To summarise the state of the art during the year 2018 in consumer health informatics and education, with a special emphasis on the special topic of the International Medical Informatics Association (IMIA) Yearbook for 2019: "Artificial i...

Capturing the Patient's Perspective: a Review of Advances in Natural Language Processing of Health-Related Text.

Yearbook of medical informatics
Natural Language Processing (NLP) methods are increasingly being utilized to mine knowledge from unstructured health-related texts. Recent advances in noisy text processing techniques are enabling researchers and medical domain experts to go beyond ...

User recommendation in healthcare social media by assessing user similarity in heterogeneous network.

Artificial intelligence in medicine
OBJECTIVE: The rapid growth of online health social websites has captured a vast amount of healthcare information and made the information easy to access for health consumers. E-patients often use these social websites for informational and emotional...

Automatic Extraction and Post-coordination of Spatial Relations in Consumer Language.

AMIA ... Annual Symposium proceedings. AMIA Symposium
To incorporate ontological concepts in natural language processing (NLP) it is often necessary to combine simple concepts into complex concepts (post-coordination). This is especially true in consumer language, where a more limited vocabulary forces ...

An Ensemble Method for Spelling Correction in Consumer Health Questions.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Orthographic and grammatical errors are a common feature of informal texts written by lay people. Health-related questions asked by consumers are a case in point. Automatic interpretation of consumer health questions is hampered by such errors. In th...