{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T14:14:53Z","timestamp":1765808093918},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,6]]},"abstract":"<jats:p>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\u2019s 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\u2019 care episodes. The proposed keyword extraction method is used to generate keyword summaries from 40 patients\u2019 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.<\/jats:p>","DOI":"10.3233\/shti220154","type":"book-chapter","created":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:33:10Z","timestamp":1654594390000},"source":"Crossref","is-referenced-by-count":3,"title":["Text Classification Model Explainability for Keyword Extraction \u2013 Towards Keyword-Based Summarization of Nursing Care Episodes"],"prefix":"10.3233","author":[{"given":"Akseli","family":"Reunamo","sequence":"first","affiliation":[{"name":"Department of Biology, University of Turku, Turku, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laura-Maria","family":"Peltonen","sequence":"additional","affiliation":[{"name":"Department of Nursing Science, University of Turku, Turku, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Reetta","family":"Mustonen","sequence":"additional","affiliation":[{"name":"Department of Nursing Science, University of Turku, Turku, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minttu","family":"Saari","sequence":"additional","affiliation":[{"name":"Department of Nursing Science, University of Turku, Turku, Finland"},{"name":"Information Management Unit, Satakunta Central Hospital, Pori, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tapio","family":"Salakoski","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, University of Turku, Turku, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sanna","family":"Salanter\u00e4","sequence":"additional","affiliation":[{"name":"Department of Nursing Science, University of Turku, Turku, Finland"},{"name":"Turku University Hospital, Turku, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hans","family":"Moen","sequence":"additional","affiliation":[{"name":"Department of Computing, University of Turku, Turku, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2021: One World, One Health \u2013 Global Partnership for Digital Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220154","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:33:12Z","timestamp":1654594392000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220154"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,6]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220154","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,6]]}}}