Jannes J - Search Results

1

Large language models can effectively extract stroke and reperfusion audit data from medical free-text discharge summaries.

Goh R, Cook B, Stretton B, Booth AE, Satheakeerthy S, Howson S, Kovoor J, Gupta A, Tan S, Kimberly WT, Moey A, Vallat W, Maddison J, Marks J, Gluck S, Gilbert T, Jannes J, Kleinig T, Bacchi S. Goh R, et al. Among authors: jannes j. J Clin Neurosci. 2024 Nov;129:110847. doi: 10.1016/j.jocn.2024.110847. Epub 2024 Sep 20. J Clin Neurosci. 2024. PMID: 39305548 Free article.

2

Stroke prognostication for discharge planning with machine learning: A derivation study.

Bacchi S, Oakden-Rayner L, Menon DK, Jannes J, Kleinig T, Koblar S. Bacchi S, et al. Among authors: jannes j. J Clin Neurosci. 2020 Sep;79:100-103. doi: 10.1016/j.jocn.2020.07.046. Epub 2020 Aug 5. J Clin Neurosci. 2020. PMID: 33070874

3

Improving the accuracy of stroke clinical coding with open-source software and natural language processing.

Bacchi S, Gluck S, Koblar S, Jannes J, Kleinig T. Bacchi S, et al. Among authors: jannes j. J Clin Neurosci. 2021 Dec;94:233-236. doi: 10.1016/j.jocn.2021.10.024. Epub 2021 Nov 5. J Clin Neurosci. 2021. PMID: 34863443

4

Prospective and external validation of stroke discharge planning machine learning models.

Bacchi S, Oakden-Rayner L, Menon DK, Moey A, Jannes J, Kleinig T, Koblar S. Bacchi S, et al. Among authors: jannes j. J Clin Neurosci. 2022 Feb;96:80-84. doi: 10.1016/j.jocn.2021.12.031. Epub 2022 Jan 6. J Clin Neurosci. 2022. PMID: 34999495

5

Delays in the diagnosis of ischaemic stroke presenting with persistent reduced level of consciousness: A systematic review.

Tan S, Tang C, Ng JS, Ng C, Kovoor J, Gupta A, Goh R, Bacchi S, Jannes J, Kleinig T. Tan S, et al. Among authors: jannes j. J Clin Neurosci. 2023 Sep;115:14-19. doi: 10.1016/j.jocn.2023.07.009. Epub 2023 Jul 14. J Clin Neurosci. 2023. PMID: 37454440 Free article. Review.

6

Ischaemic stroke may symptomatically manifest as migraine aura.

Waters MJ, Cheong E, Jannes J, Kleinig T. Waters MJ, et al. Among authors: jannes j. J Clin Neurosci. 2018 Sep;55:62-64. doi: 10.1016/j.jocn.2018.07.017. Epub 2018 Jul 19. J Clin Neurosci. 2018. PMID: 30031567

7

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: jannes j. 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

8

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: jannes j. 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

9

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: jannes j. 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

10

Automated information extraction from free-text medical documents for stroke key performance indicators: a pilot study.

Bacchi S, Gluck S, Koblar S, Jannes J, Kleinig T. Bacchi S, et al. Among authors: jannes j. Intern Med J. 2022 Feb;52(2):315-317. doi: 10.1111/imj.15678. Intern Med J. 2022. PMID: 35187820

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