• Corpus ID: 6379282

Query Reformulation for Clinical Decision Support Search

  title={Query Reformulation for Clinical Decision Support Search},
  author={Luca Soldaini and Arman Cohan and Andrew Yates and Nazli Goharian and Ophir Frieder},
Abstract : One of the tasks a Clinical Decision Support (CDS) system is designed to solve is retrieving the most relevant and actionable literature for a given medical case report. In this work, we present a query reformulation approach that addresses the unique formulation of case reports, making them suitable to be used on a general purpose search engine. Furthermore, we introduce five reranking algorithms designed to re-order a list of retrieved literature to better match the type of… 

Figures and Tables from this paper

Optimization Method for Weighting Explicit and Latent Concepts in Clinical Decision Support Queries

Experiments indicate that applying the proposed method for representing verbose domain-specific queries based on weighted unigram, bigram, and multi-term concepts in the query itself, as well as extracted from the top retrieved documents and external knowledge bases results in significant improvement of retrieval accuracy over state-of-the-art methods for ad hoc and medical IR.

Learning from Medical Summaries: The University of Michigan at TREC 2015 Clinical Decision Support Track

The experiments showed that the ensemble approach could improve the overall results by boosting the ranking of articles that are near the top of several single ranked lists.

TREC 2015 paper submission UWM-UO @ 2015 Clinical Decision Support Track: QE by Weighted Keywords using PRF

In the 2015 CDS track, the queries have been expanded in four different ways which we called four different modes. The results shows statistically significantly improvement in terms of infAP, infNDCG

State-of-the-art in biomedical literature retrieval for clinical cases: a survey of the TREC 2014 CDS track

An overview of the task, a survey of the information retrieval methods employed by the participants, an analysis of the results, and a discussion on the future directions for this challenging yet important task are provided.

The Knowledge and Language Gap in Medical Information Seeking

This dissertation proposes several methods to overcome challenges to overcome the language and knowledge gap that affects health experts' ability to properly formulate information needs and improve search outcomes.

Contextualized Semantic Maps for Retrieval and Summarization of Biomedical Literature

This dissertation describes Casama, a system for creating "contextualized semantic maps" to represent the current state of scientific knowledge in the domain of non-small cell lung cancer (NSCLC).

Learning to reformulate long queries for clinical decision support

This work introduces two systems designed to help retrieving medical literature, both of which receive a long, discursive clinical note as input query, and return highly relevant literature that could be used in support of clinical practice.

Contribution à l'analyse et l'évaluation des requêtes expertes : cas du domaine médical. (Contribution to the analyze and evaluation of clinical queries : medical domain)

An in-depth statistical analysis of queries issued from IR evaluation compaigns namely Text REtrieval Conference (TREC) and Conference and Labs of the Evaluation Forum (CLEF) devoted for different medical tasks within controlled evaluation settings is undertaken.

Retrieving Medical Literature for Clinical Decision Support

This work applies query reformulation techniques to address literature search based on case reports and achieves a statistically significant improvement over the baseline and the state-of-the-art.



On clinical decision support

This work investigates the utility of applying pseudo-relevance feedback (PRF), a query expansion method that performs well in keyword-based medical literature search to CDS search, and obtains statistically significant retrieval efficiency improvement in terms of nDCG, over the baseline.

Searching in Medline: Query expansion and manual indexing evaluation

Probabilistic models of information retrieval based on measuring the divergence from randomness

A framework for deriving probabilistic models of Information Retrieval using term-weighting models obtained in the language model approach by measuring the divergence of the actual term distribution from that obtained under a random process is introduced.

Clustering by Passing Messages Between Data Points

A method called “affinity propagation,” which takes as input measures of similarity between pairs of data points, which found clusters with much lower error than other methods, and it did so in less than one-hundredth the amount of time.

A Coefficient of Agreement for Nominal Scales

CONSIDER Table 1. It represents in its formal characteristics a situation which arises in the clinical-social-personality areas of psychology, where it frequently occurs that the only useful level of

Retrieving Medical Literature for Clinical Decision Support

This work applies query reformulation techniques to address literature search based on case reports and achieves a statistically significant improvement over the baseline and the state-of-the-art.