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Patient-reported quality of life and eligibility for cataract surgery: assessing the relationship between ethnicity and 'Impact on Life' questionnaire scores in New Zealand

Autor: Nancy, Wang, Lyn, Hunt, James, McKelvie

Publikováno v: The New Zealand medical journal. 135(1553)

The 'Impact on Life' (IoL) questionnaire is a patient reported quality-of-life assessment tool used to prioritise cataract surgery in New Zealand (NZ). This study evaluated the association between ethnicity and IoL questionnaire responses.This is a r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::47a95e892a645680f419535252da6430
https://pubmed.ncbi.nlm.nih.gov/35728201

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Patient-reported quality of life for cataract surgery: prospective validation of the 'Impact on Life' and Catquest-9SF questionnaires in New Zealand

Autor: Sunny S, Li, Stuti, Misra, Henry, Wallace, Lyn, Hunt, James, McKelvie

Publikováno v: The New Zealand medical journal. 132(1503)

The 'Impact on Life' (IoL) questionnaire is used to prioritise publicly funded cataract surgery in New Zealand, however, it has not been formally validated for ophthalmic use. The Catquest-9SF questionnaire is widely used to assess vision-related qua

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::bb763a97f65768c925e8274f9fb6f652
https://pubmed.ncbi.nlm.nih.gov/31581180

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Cranioplasty outcomes and associated complications: A single-centre observational study

Autor: Peter Yee Chiung Gan, Ee Shern Liang, Geoffrey Tipper, Lyn Hunt

Publikováno v: British Journal of Neurosurgery. 30:122-127

The resurgence of decompressive craniectomy has led to recent published reviews of the safety of cranioplasties. To date there is a wide range of reported mortality and morbidity. This observational study reports the outcomes of the cranioplasty oper

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdeeceebb3e84800b8107a221c78d41f
https://doi.org/10.3109/02688697.2015.1080216

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User satisfaction with machine learning as a data analysis method in agricultural research

Autor: Lyn Hunt, Robert J. McQueen, Geoffrey Holmes

Publikováno v: New Zealand Journal of Agricultural Research. 41:577-584

Machine learning has potential use in the understanding of information hidden in large datasets, but little is known about user perceptions of the use of the technology. In this study, datasets were solicited from agricultural researchers and process

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::793a8c1eb08d2ccb8fbe86f95c66298b
https://doi.org/10.1080/00288233.1998.9513341

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