Call for Papers

We invite submissions in the following categories:

Long papers (6 pages + 1 page references): Long papers should present original research work and be no longer than seven pages in total: six pages for the main text of the paper (including all figures but excluding references), and one additional page for references.

Short papers (3 pages + 1 page references): Short papers may report on works in progress, descriptions of available datasets, as well as data collection efforts. Position papers regarding potential research challenges are also welcomed. Short paper submissions should be no longer than four pages in total: three pages for the main text of the paper (including all figures but excluding references), and one additional page for references.

Both long and short papers must be formatted according to IJCAI guidelines and submitted electronically through easychair.

Relevant topic areas

We welcome contributions in areas that include, but are not limited to, the following:

· Mathematical model development in biology and medicine

· Handling large healthcare datasets: dealing with missing values and non-uniformly sampled data

· Integration of multi-level data in healthcare (e.g. behavioral data, diagnoses, vitals, radiology imaging, Doctor's notes, phenotype, and different omics data)

· Biomedical data collection efforts

· Clinical decision support systems

· Detecting and extracting hidden information from healthcare data

· Mathematical modeling of disease interaction and progression

· Development of novel diagnostic and prognostic tests utilizing quantitative data analysis

· Extracting causal relationships from healthcare data

· Novel visualization techniques in biomedicine

· Nonlinear dynamics in medicine

· Deep learning approaches in healthcare

· Active and transfer learning in healthcare

· Applications of probabilistic analysis in medicine

· Physiological data analysis

· Predictive and prescriptive analytics using available patient data

· Classification of pathologic mental and physical health states