HSDM 2020 - 2020 WSDM Workshop on Health Search and Data Mining

There are many interesting challenges in delivering intelligent decision support in the health domain. Collections of documents such as health records, scholarly publications, clinical trials, or drug orders grow at high rates and are distributed around the globe in a fragmented manner. Health data is highly multi-modal (clinical notes, time series, medical images, genomics etc.) and its interpretation is domain specific. Users of health information systems have different levels of expertise, and information needs, e.g., a patient vs. a primary care physician vs. cancer researcher. At the same time, the data is highly sensitive and subject to legal requirements regarding privacy, security, and confidentiality. This breadth of challenges requires interdisciplinary approaches. The Information Retrieval (IR) and Data Mining (DM) communities are particularly well-positioned to tackle these problems.
Search, recommendation, and information extraction systems help lay and expert users explore ever-growing collections. Decision support systems assist in complex decision making processes. Intelligent user interfaces present the right information at the right time and allow for unobtrusive interaction all the way from the lab to the bedside. Mobile device applications and other sensors help provide a more holistic view on the patient's case than what can be gleaned in an 10-minute physician interview.
Topics of interest include, among others:
Search over images/genomics/structured data
Federated multi-modal search combining different data sources
User interfaces for biomedical/clinical search supporting complex information needs
Analysis of search logs and social media
User search behavior studies
Building and use of medical knowledge bases or ontologies
Privacy-preserving techniques for clinical data
Adverse event detection and prediction
Mobile (mHealth) applications
Wearables
Spoken interaction with health data
Whole exposome modeling and estimation
Applications of data mining and machine learning
Ethics, bias, and fairness
Submission Instructions
Submission files should not exceed 8 pages with additional pages allowed for references. Reviews are double blind; author names and affiliations should be removed. All submissions must be written in English and submitted as PDF files formatted using the standard ACM "sigconf" template: https://www.acm.org/publications/proceedings-templ....
Submissions should be made electronically through EasyChair: https://easychair.org/conferences/?conf=hsdm20
Important Dates
Nov 11, 2019: Submissions due
Dec 1, 2019: Submission notifications
Dec 13, 2019: Camera-ready deadline
Feb 7th, 2020: HSDM Workshop