Publications

The TREC Precision Medicine (PM) track is motivated by the research problem of developing effective search systems for finding treatment plans based on an individual's genetic, environmental, and lifestyle profile. The newly introduced PM track can...
The Clinical Decision Support (CDS) track for this year contains only one task with 30 topics; however, a new challenge has been introduced to the participants, which is using unstructured clinical notes as a new representation for queries. Now,...
Modeling workflow performance is crucial for finding optimal configuration parameters and optimizing execution times. We apply the method of surrogate-based modeling to performance tuning of MapReduce jobs. We build a surrogate model defined by a...
Several query performance prediction approaches have been proposed to estimate the retrieval effectiveness of user queries. One limitation in these approaches is that they estimate query performance without any consideration of the type of features...
Clinical Decision Support Systems (CDS) are built to make biomedical literature efficiently accessible to clinicians. The typical queries submitted to these systems are medical cases which describe various aspects of a patient health including...
We present a user-based model for rating concepts (i.e., words and phrases) in clinical queries based on their relevance to clinical decision making. Our approach can be adopted by information retrieval systems (e.g., search engines) to identify the...
​Learning to Rank (LtR) is a new emerging research area in which machine learning techniques are used to solve the problem of ranking search results. In this paper, we consider applying LtR to the tasks performed by physicians in seeking out...