Relevance ranking of intensive care nursing narratives

Hanna Suominen, Tapio Pahikkala, Marketta Hussa, Tuija Lehtikunnas, Barbro Back, Helena Karsten, Sanna Salanterä, Tapio I. Salakoski

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

5 Citations (Scopus)


Current computer-based patient records provide many capabilities to assist nurses' work in intensive care units, but the possibilities to utilize existing free-text documentation are limited without the appropriate tools. To ease this limitation, we present an adaptation of the Regularized Least-Squares (RLS) algorithm for ranking pieces of nursing notes with respect to their relevance to breathing, blood circulation, and pain. We assessed the ranking results by using Kendall's τb as a measure of association between the output of the RLS algorithm and the desired ranking. The values of τb, were 0.62, 0.69, and 0.44 for breathing, blood circulation, and pain, respectively. These values indicate that a machine learning approach can successfully be used to rank nursing notes, and encourage further research on the use of ranking techniques when developing intelligent tools for the utilization of nursing narratives.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings
EditorsBogdan Gabrys, Robert J. Howlett, Lakhmi C. Jain
Number of pages8
ISBN (Electronic)9783540465362
ISBN (Print)9783540465355
Publication statusPublished - 2006
Externally publishedYes
Event10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 - Bournemouth, United Kingdom
Duration: 9 Oct 200611 Oct 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4251 LNAI - I
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006
Country/TerritoryUnited Kingdom


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