AI-Health 2014 - Special Track on AI in Healthcare Informatics (AI-Health), Doug Talbert and Steve Talbert

Healthcare informatics focuses on the efficient and effective acquisition, management, and use of information in healthcare. Advancing health informatics has been declared a Grand Challenge by the National Academy of Engineering and is a major area of emphasis for agencies such as the Centers for Medicare & Medicaid Services. As such, it has been identified as an area of national need. Sample uses of AI in health informatics includes expert systems for decision support, machine learning and data mining to discover patterns across patients, image analysis to assist in diagnosis, and natural language processing to extract information from free text medical documents.
What is the GOAL of the track?
A strength of FLAIRS is the diversity of areas represented by attendees. The goal of this track is to broaden participation by encouraging researchers in healthcare to submit and attend.
Who might be interested?
The track should be of interest to both computer scientists as well as researchers and providers in medicine.
What kind of studies will be of interest??
Papers and contributions are encouraged for any work relating to AI in Healthcare Informatics. Topics of interest may include (but are in no way limited to)
Healthcare decision support
Medical image processing
Machine learning and data mining in healthcare
Processing and managing patient records
Syndromic surveillance
Drug discovery
Personalization of clinical care
Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process).