Literature DB >> 28499136

A novel tool for the identification of correlations in medical data by faceted search.

Danilo Schmidt1, Klemens Budde2, Daniel Sonntag3, Hans-Jürgen Profitlich4, Matthias Ihle5, Oliver Staeck6.   

Abstract

This work focuses on the integration of multifaceted extensive data sets (e.g. laboratory values, vital data, medications) and partly unstructured medical data such as discharge letters, diagnostic reports, clinical notes etc. in a research database. Our main application is an integrated faceted search in nephrology based on information extraction results. We describe the details of the application of transplant medicine and the resulting technical architecture of the faceted search application.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  Decision support; Faceted search; Knowledge based systems; Medical domain

Mesh:

Year:  2017        PMID: 28499136     DOI: 10.1016/j.compbiomed.2017.04.011

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  1 in total

1.  OARD: Open annotations for rare diseases and their phenotypes based on real-world data.

Authors:  Cong Liu; Casey N Ta; Jim M Havrilla; Jordan G Nestor; Matthew E Spotnitz; Andrew S Geneslaw; Yu Hu; Wendy K Chung; Kai Wang; Chunhua Weng
Journal:  Am J Hum Genet       Date:  2022-08-22       Impact factor: 11.043

  1 in total

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