Tan Y - Search Results

1

Machine learning in the prediction of medical inpatient length of stay.

Bacchi S, Tan Y, Oakden-Rayner L, Jannes J, Kleinig T, Koblar S. Bacchi S, et al. Among authors: tan y. Intern Med J. 2022 Feb;52(2):176-185. doi: 10.1111/imj.14962. Epub 2021 Oct 27. Intern Med J. 2022. PMID: 33094899 Review.

2

Triaging ophthalmology outpatient referrals with machine learning: A pilot study.

Tan Y, Bacchi S, Casson RJ, Selva D, Chan W. Tan Y, et al. Clin Exp Ophthalmol. 2020 Mar;48(2):169-173. doi: 10.1111/ceo.13666. Epub 2019 Nov 14. Clin Exp Ophthalmol. 2020. PMID: 31648398

3

Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study.

Bacchi S, Gluck S, Tan Y, Chim I, Cheng J, Gilbert T, Menon DK, Jannes J, Kleinig T, Koblar S. Bacchi S, et al. Among authors: tan y. Intern Emerg Med. 2020 Sep;15(6):989-995. doi: 10.1007/s11739-019-02265-3. Epub 2020 Jan 2. Intern Emerg Med. 2020. PMID: 31898204

4

The associations among medical student debt, distress and resilience in the early years of medical school: an international cross-sectional study.

Bacchi S, Asahina A, Wang D, Wagner M, Pisaniello M, French J, Tan Y, Perry SW, Symonds I, Anakin M, Wilkinson T, Gallagher SJ, Wong ML, McGorry P, Licinio J. Bacchi S, et al. Among authors: tan y. Australas Psychiatry. 2020 Aug;28(4):468-469. doi: 10.1177/1039856220917078. Epub 2020 May 7. Australas Psychiatry. 2020. PMID: 32378415 No abstract available.

5

Mixed-data deep learning in repeated predictions of general medicine length of stay: a derivation study.

Bacchi S, Gluck S, Tan Y, Chim I, Cheng J, Gilbert T, Jannes J, Kleinig T, Koblar S. Bacchi S, et al. Among authors: tan y. Intern Emerg Med. 2021 Sep;16(6):1613-1617. doi: 10.1007/s11739-021-02697-w. Epub 2021 Mar 16. Intern Emerg Med. 2021. PMID: 33728577

6

Daily estimates of individual discharge likelihood with deep learning natural language processing in general medicine: a prospective and external validation study.

Bacchi S, Gilbert T, Gluck S, Cheng J, Tan Y, Chim I, Jannes J, Kleinig T, Koblar S. Bacchi S, et al. Among authors: tan y. Intern Emerg Med. 2022 Mar;17(2):411-415. doi: 10.1007/s11739-021-02816-7. Epub 2021 Jul 31. Intern Emerg Med. 2022. PMID: 34333736

7

Medical student knowledge and critical appraisal of machine learning: a multicentre international cross-sectional study.

Blacketer C, Parnis R, B Franke K, Wagner M, Wang D, Tan Y, Oakden-Rayner L, Gallagher S, Perry SW, Licinio J, Symonds I, Thomas J, Duggan P, Bacchi S. Blacketer C, et al. Among authors: tan y. Intern Med J. 2021 Sep;51(9):1539-1542. doi: 10.1111/imj.15479. Intern Med J. 2021. PMID: 34541769

8

Professionalism and clinical short answer question marking with machine learning.

Lam A, Lam L, Blacketer C, Parnis R, Franke K, Wagner M, Wang D, Tan Y, Oakden-Rayner L, Gallagher S, Perry SW, Licinio J, Symonds I, Thomas J, Duggan P, Bacchi S. Lam A, et al. Among authors: tan y. Intern Med J. 2022 Jul;52(7):1268-1271. doi: 10.1111/imj.15839. Intern Med J. 2022. PMID: 35879236

9

Safety always: the challenges of cloud computing in medical practice and ophthalmology.

Pietris J, Bacchi S, Tan Y, Kovoor J, Gupta A, Chan W. Pietris J, et al. Among authors: tan y. Eye (Lond). 2023 Aug;37(12):2436-2437. doi: 10.1038/s41433-022-02372-0. Epub 2022 Dec 22. Eye (Lond). 2023. PMID: 36550311 No abstract available.

10

Non-fungible tokens in ophthalmology: what is it good for?

Pietris J, Bacchi S, Wiech S, Tan Y, Kovoor J, Gupta A, Casson R, Chan W. Pietris J, et al. Among authors: tan y. Eye (Lond). 2023 Aug;37(12):2434-2435. doi: 10.1038/s41433-022-02371-1. Epub 2022 Dec 23. Eye (Lond). 2023. PMID: 36564577 No abstract available.

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