Text Classification Model Explainability for Keyword Extraction-Towards Keyword-Based Summarization of Nursing Care Episodes

Akseli Reunamo, Laura Maria Peltonen, Reetta Mustonen, Minttu Saari, Tapio Salakoski, Sanna Salanterä, Hans Moen

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

2 Sitaatiot (Scopus)

Abstrakti

Tools to automate the summarization of nursing entries in electronic health records (EHR) have the potential to support healthcare professionals to obtain a rapid overview of a patient's situation when time is limited. This study explores a keyword-based text summarization method for the nursing text that is based on machine learning model explainability for text classification models. This study aims to extract keywords and phrases that provide an intuitive overview of the content in multiple nursing entries in EHRs written during individual patients' care episodes. The proposed keyword extraction method is used to generate keyword summaries from 40 patients' care episodes and its performance is compared to a baseline method based on word embeddings combined with the PageRank method. The two methods were assessed with manual evaluation by three domain experts. The results indicate that it is possible to generate representative keyword summaries from nursing entries in EHRs and our method outperformed the baseline method.

AlkuperäiskieliEnglanti
OtsikkoMEDINFO 2021
AlaotsikkoOne World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics
ToimittajatPaula Otero, Philip Scott, Susan Z. Martin, Elaine Huesing
KustantajaIOS Press
Sivut632-636
Sivumäärä5
ISBN (elektroninen)978-1-64368-264-8
DOI - pysyväislinkit
TilaJulkaistu - 6 kesäk. 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaWorld Congress on Medical and Health Informatics - Virtual, Online
Kesto: 2 lokak. 20214 lokak. 2021
Konferenssinumero: 18

Julkaisusarja

NimiStudies in Health Technology and Informatics
KustantajaIOS Press
Vuosikerta290
ISSN (painettu)0926-9630
ISSN (elektroninen)1879-8365

Conference

ConferenceWorld Congress on Medical and Health Informatics
LyhennettäMEDINFO
KaupunkiVirtual, Online
Ajanjakso02/10/202104/10/2021

Sormenjälki

Sukella tutkimusaiheisiin 'Text Classification Model Explainability for Keyword Extraction-Towards Keyword-Based Summarization of Nursing Care Episodes'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä