The integration of information from now widely available -omics and imaging modalities at multiple time and spatial scales with personal health records has become the standard of disease care in modern public health. Moreover, given the ever-increasing role of the World Wide Web as a source of information in many domains including healthcare, accessing, managing, and analyzing its content has brought new opportunities and challenges. The advances in web science and technology for data management, integration, mining, classification, filtering, and visualization has given rise to a variety of applications representing real-time data on epidemics.
Furthermore, to tackle and overcome several issues in personalized healthcare, information technology will need to evolve to improve communication, collaboration, and teamwork among patients, their families, healthcare communities, and care teams involving practitioners from different fields and specialties. All these changes require novel solutions, and the AI community is well-positioned to provide both theoretical- and application-based methods and frameworks.
Topics
The workshop will include original contributions on theory, methods, systems, and applications of data mining, machine learning, databases, network theory, natural language processing, knowledge representation, artificial intelligence, semantic web, and big data analytics in web-based healthcare applications, with a focus on applications in population and personalized health. The scope of the workshop includes, but is not limited to, the following areas:
· Knowledge Representation and Extraction · Integrated Health Information Systems · Patient Education · Patient-Focused Workflows · Shared Decision Making · Geographical Mapping and Visual Analytics for Health Data · Social Media Analytics · Epidemic Intelligence · Predictive Modeling and Decision Support · Semantic Web and Web Services · Biomedical Ontologies, Terminologies, and Standards · Bayesian Networks and Reasoning under Uncertainty · Temporal and Spatial Representation and Reasoning · Case-based Reasoning in Healthcare · Crowdsourcing and Collective Intelligence · Risk Assessment, Trust, Ethics, Privacy, and Security · Sentiment Analysis and Opinion Mining · Computational Behavioral/Cognitive Modeling · Health Intervention Design, Modeling and Evaluation · Online Health Education and E-learning · Mobile Web Interfaces and Applications · Applications in Epidemiology and Surveillance (e.g. Bioterrorism, Participatory Surveillance, Syndromic Surveillance, Population Screening) · Hybrid Methods, combining data driven and predictive forward models · Explainable AI (XAI) in Health and Medical domain · Precision Medicine and Health · Response to Covid-19 · Computational models of ageing
Format
The workshop will be consisting of a welcome session, keynote and invited talks, full/short paper presentations, demos, posters, a panel discussion, and dissemination of results from the hackathon.
Submissions
We invite workshop participants to submit their original contributions (Single Blind) following the AAAI format through EasyChair. Three categories of contributions are sought: full-research papers up to 8 pages; short papers up to 4 pages; and posters and demos up to 2 pages. Participants in the hack-a-thon will be asked to either register as team or be randomly assigned to a team after registration. Their results will be submitted in either a short paper or poster format. A dataset(s) will be provided to hack-a-thon participants.
Important Dates
November 15, 2022: Submissions due December 12, 2022: Notification of acceptance January 10, 2023: Final Camera-Ready Version February 13-14, 2023: W3PHIAI'23 Workshop Program
