TY - GEN
T1 - Relevance ranking of intensive care nursing narratives
AU - Suominen, Hanna
AU - Pahikkala, Tapio
AU - Hussa, Marketta
AU - Lehtikunnas, Tuija
AU - Back, Barbro
AU - Karsten, Helena
AU - Salanterä, Sanna
AU - Salakoski, Tapio
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33750693913&partnerID=8YFLogxK
U2 - 10.1007/11892960_87
DO - 10.1007/11892960_87
M3 - Conference contribution
AN - SCOPUS:33750693913
SN - 3540465359
SN - 9783540465355
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 720
EP - 727
BT - Knowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings
PB - Springer Verlag
T2 - 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006
Y2 - 9 October 2006 through 11 October 2006
ER -