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Informatics for Health and Social Care Volume 47, 2022 - Issue 4
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Research Article

Machine learning and natural language processing to identify falls in electronic patient care records from ambulance attendances

Hideo Tohiraa Prehospital, Resuscitation and Emergency Care Research Unit, Curtin School of Nursing, Curtin University, Perth, Australia;b Discipline of Emergency Medicine, Medical School, The University of Western Australia, Perth, AustraliaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2244-8004View further author information
ORCID Icon,
Judith Finna Prehospital, Resuscitation and Emergency Care Research Unit, Curtin School of Nursing, Curtin University, Perth, Australia;b Discipline of Emergency Medicine, Medical School, The University of Western Australia, Perth, Australia;c Ambulance Operation, St John Western Australia, Belmont, Australia;d School of Public Health and Preventive Medicine, Monash University, Melbourne, AustraliaORCID Iconhttps://orcid.org/0000-0002-7307-7944View further author information
ORCID Icon,
Stephen Balla Prehospital, Resuscitation and Emergency Care Research Unit, Curtin School of Nursing, Curtin University, Perth, Australia;c Ambulance Operation, St John Western Australia, Belmont, AustraliaORCID Iconhttps://orcid.org/0000-0002-9457-3381View further author information
ORCID Icon,
Deon Brinkc Ambulance Operation, St John Western Australia, Belmont, AustraliaORCID Iconhttps://orcid.org/0000-0003-2874-2658View further author information
ORCID Icon &
Peter Buzzacotta Prehospital, Resuscitation and Emergency Care Research Unit, Curtin School of Nursing, Curtin University, Perth, AustraliaORCID Iconhttps://orcid.org/0000-0002-5926-1374View further author information
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Pages 403-413 | Published online: 30 Dec 2021

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