{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T19:19:59Z","timestamp":1771787999309,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684567","type":"print"},{"value":"9781643684574","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T00:00:00Z","timestamp":1706140800000},"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":[[2024,1,25]]},"abstract":"<jats:p>The success of deep learning in natural language processing relies on ample labelled training data. However, models in the health domain often face data inadequacy due to the high cost and difficulty of acquiring training data. Developing such models thus requires robustness and performance on new data. A generalised incremental multiphase framework is proposed for developing robust and performant clinical text deep learning classifiers. It incorporates incremental multiphases for training data size assessments, cross-validation setup to avoid test data bias, and robustness testing through inter\/intra-model significance analysis. The framework\u2019s effectiveness and generalisation were confirmed by the task of identifying patients presenting in \u2018pain\u2019 to the emergency department.<\/jats:p>","DOI":"10.3233\/shti231056","type":"book-chapter","created":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:24:53Z","timestamp":1706178293000},"source":"Crossref","is-referenced-by-count":3,"title":["Developing Robust Clinical Text Deep Learning Models \u2013 A \u201cPainless\u201d Approach"],"prefix":"10.3233","author":[{"given":"Yutong","family":"Wu","sequence":"first","affiliation":[{"name":"The Australian e-Health Research Centre, CSIRO, Brisbane, Australia"}]},{"given":"James A.","family":"Hughes","sequence":"additional","affiliation":[{"name":"School of Nursing, Centre for Healthcare Transformation, Queensland University of Technology, Brisbane, Australia"},{"name":"Emergency and Trauma Centre, Royal Brisbane and Women\u2019s Hospital, Brisbane, Australia"}]},{"given":"Anna-Lisa","family":"Lyrstedt","sequence":"additional","affiliation":[{"name":"Emergency and Trauma Centre, Royal Brisbane and Women\u2019s Hospital, Brisbane, Australia"}]},{"given":"Sarah","family":"Hazelwood","sequence":"additional","affiliation":[{"name":"Emergency Department, The Prince Charles Hospital, Brisbane, Australia"}]},{"given":"Nathan J.","family":"Brown","sequence":"additional","affiliation":[{"name":"Emergency and Trauma Centre, Royal Brisbane and Women\u2019s Hospital, Brisbane, Australia"},{"name":"Faculty of Medicine, University of Queensland, Brisbane, Australia"}]},{"given":"Lee","family":"Jones","sequence":"additional","affiliation":[{"name":"School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia"}]},{"given":"Clint","family":"Douglas","sequence":"additional","affiliation":[{"name":"School of Nursing, Centre for Healthcare Transformation, Queensland University of Technology, Brisbane, Australia"},{"name":"Metro North Health, Brisbane, Australia"}]},{"given":"Rajeev","family":"Jarugula","sequence":"additional","affiliation":[{"name":"Emergency Department, The Prince Charles Hospital, Brisbane, Australia"}]},{"given":"Kevin","family":"Chu","sequence":"additional","affiliation":[{"name":"Emergency and Trauma Centre, Royal Brisbane and Women\u2019s Hospital, Brisbane, Australia"},{"name":"Faculty of Medicine, University of Queensland, Brisbane, Australia"}]},{"given":"Anthony","family":"Nguyen","sequence":"additional","affiliation":[{"name":"The Australian e-Health Research Centre, CSIRO, Brisbane, Australia"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2023 \u2014 The Future Is Accessible"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI231056","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:24:55Z","timestamp":1706178295000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI231056"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,25]]},"ISBN":["9781643684567","9781643684574"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti231056","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,25]]}}}