This volume contains the papers presented at HSDM20: ACM WSDM Workshop on Health Search and Data Mining held on February 3, 2020 in Houston. There were 7 submissions. Each submission was reviewed by at least 2, and on the average 2.9, program committee members. The committee decided to accept 6 papers. The program also includes 2 invited talks. 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 speci c. 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 con dentiality. 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. Health-related topics of interest include, among others: { Search over images/genomics/structured data { Federated multi-modal search combining di erent 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 This conference was sponsored by UPMC Enterprises.
v Program Committee Karin Verspoor Wei Wei Ryen White Elad Yom-Tov Steven Bedrick OHSU Leonid Boytsov 3M M*Modal Dina Demner U.S. National Library of Medicine, NIH Carsten Eickho Brown University Alba Garc a Seco De Her- University of Essex rera Yubin Kim Bevan Koopman Henning Muller Joao Palotti Zhen Qin Kirk Roberts
S Sergeeva, Elena ix