Towards Automated Screening of Literature on Artificial Intelligence in Nursing

Hans Moen*, Dari Alhuwail, Jari Björne, Lori Block, Sven Celin, Eunjoo Jeon, Karl Kreiner, James Mitchell, Gabriela Ozegović, Charlene Esteban Ronquillo, Lydia Sequeira, Jude Tayaben, Maxim Topaz, Sai Pavan Kumar Veeranki, Laura Maria Peltonen

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

2 Sitaatiot (Scopus)

Abstrakti

We evaluate the performance of multiple text classification methods used to automate the screening of article abstracts in terms of their relevance to a topic of interest. The aim is to develop a system that can be first trained on a set of manually screened article abstracts before using it to identify additional articles on the same topic. Here the focus is on articles related to the topic 'artificial intelligence in nursing'. Eight text classification methods are tested, as well as two simple ensemble systems. The results indicate that it is feasible to use text classification technology to support the manual screening process of article abstracts when conducting a literature review. The best results are achieved by an ensemble system, which achieves a F1-score of 0.41, with a sensitivity of 0.54 and a specificity of 0.96. Future work directions are discussed.

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
Sivut637-640
Sivumäärä4
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

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