Extracting Symptoms of Agitation in Dementia from Free-Text Nursing Notes Using Advanced Natural Language Processing...19th World Congress on Medical and Health Informatics, July 8-12, 2023, New South Wales, Australia
Nursing staff record observations about older people under their care in free-text nursing notes. These notes contain older people's care needs, disease symptoms, frequency of symptom occurrence, nursing actions, etc. Therefore, it is vital to develop a technique to uncover important data from these...
| Publicado en: | Studies in Health Technology & Informatics Vol. 310; pp. 700 - 705 |
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| Autores principales: | , , , , , |
| Formato: | proceedings research Journal Article |
| Publicado: |
Sage Publications Inc.
2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=175248865&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 175248865 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2023 vid: 310 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 175248865 175248865 175248865 10.3233/SHTI231055 175248865 ppf: 700 ppct: 5 formats: tig: atl: Extracting Symptoms of Agitation in Dementia from Free-Text Nursing Notes Using Advanced Natural Language Processing...19th World Congress on Medical and Health Informatics, July 8-12, 2023, New South Wales, Australia aug: au: VITHANAGE, Dinithi Yunshu ZHU Zhenyu ZHANG Chao DENG Mengyang YIN Ping YU affil: Center for Digital Transformation, School of Computing and Information Technology, University of Wollongong, Wollongong, Australia sug: subj: Natural Language Processing Utilization Agitation Symptoms Dementia Diagnosis Nursing Records Gerontologic Care Congresses and Conferences Australia Australia Deep Learning Methods Transfer (Psychology) Residential Care Comparative Studies Nursing Models, Theoretical Human Aged Aged: 65+ years ab: Nursing staff record observations about older people under their care in free-text nursing notes. These notes contain older people's care needs, disease symptoms, frequency of symptom occurrence, nursing actions, etc. Therefore, it is vital to develop a technique to uncover important data from these notes. This study developed and evaluated a deep learning and transfer learning-based named entity recognition (NER) model for extracting symptoms of agitation in dementia from the nursing notes. We employed a Clinical BioBERT model for word embedding. Then we applied bidirectional long-short-term memory (BiLSTM) and conditional random field (CRF) models for NER on nursing notes from Australian residential aged care facilities. The proposed NER model achieves satisfactory performance in extracting symptoms of agitation in dementia with a 75% F1 score and 78% accuracy. We will further develop machine learning models to recommend the optimal nursing actions to manage agitation. pubtype: Academic Journal doctype: proceedings research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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