162 related articles for article (PubMed ID: 31648398)
1. Triaging ophthalmology outpatient referrals with machine learning: A pilot study.
Tan Y; Bacchi S; Casson RJ; Selva D; Chan W
Clin Exp Ophthalmol; 2020 Mar; 48(2):169-173. PubMed ID: 31648398
[TBL] [Abstract][Full Text] [Related]
2. Deep Learning Natural Language Processing Successfully Predicts the Cerebrovascular Cause of Transient Ischemic Attack-Like Presentations.
Bacchi S; Oakden-Rayner L; Zerner T; Kleinig T; Patel S; Jannes J
Stroke; 2019 Mar; 50(3):758-760. PubMed ID: 30653397
[TBL] [Abstract][Full Text] [Related]
3. Triaging Medical Referrals Based on Clinical Prioritisation Criteria Using Machine Learning Techniques.
Wee CK; Zhou X; Sun R; Gururajan R; Tao X; Li Y; Wee N
Int J Environ Res Public Health; 2022 Jun; 19(12):. PubMed ID: 35742633
[TBL] [Abstract][Full Text] [Related]
4. Emergency department triage prediction of clinical outcomes using machine learning models.
Raita Y; Goto T; Faridi MK; Brown DFM; Camargo CA; Hasegawa K
Crit Care; 2019 Feb; 23(1):64. PubMed ID: 30795786
[TBL] [Abstract][Full Text] [Related]
5. Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes.
Lin C; Hsu CJ; Lou YS; Yeh SJ; Lee CC; Su SL; Chen HC
J Med Internet Res; 2017 Nov; 19(11):e380. PubMed ID: 29109070
[TBL] [Abstract][Full Text] [Related]
6. Use of standardised assessment forms in referrals to hepatology outpatient services: implications for accurate triaging of patients with chronic hepatitis C.
Horsfall L; Macdonald G; Scott I; Skoien R; Khatun M; Moss C; Seligman C; Kardash C; Poxon V; Powell EE
Aust Health Rev; 2013 May; 37(2):218-22. PubMed ID: 23448666
[TBL] [Abstract][Full Text] [Related]
7. Machine Learning of Patient Characteristics to Predict Admission Outcomes in the Undiagnosed Diseases Network.
Amiri H; Kohane IS;
JAMA Netw Open; 2021 Feb; 4(2):e2036220. PubMed ID: 33630084
[TBL] [Abstract][Full Text] [Related]
8. 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
Intern Emerg Med; 2020 Sep; 15(6):989-995. PubMed ID: 31898204
[TBL] [Abstract][Full Text] [Related]
9. Natural Language Processing of Referral Letters for Machine Learning-Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study.
Fudickar S; Bantel C; Spieker J; Töpfer H; Stegeman P; Schiphorst Preuper HR; Reneman MF; Wolff AP; Soer R
J Med Internet Res; 2024 Jan; 26():e46857. PubMed ID: 38289669
[TBL] [Abstract][Full Text] [Related]
10. Stroke prognostication for discharge planning with machine learning: A derivation study.
Bacchi S; Oakden-Rayner L; Menon DK; Jannes J; Kleinig T; Koblar S
J Clin Neurosci; 2020 Sep; 79():100-103. PubMed ID: 33070874
[TBL] [Abstract][Full Text] [Related]
11. Ophthalmic digital image transfer: benefits to triage, patient care and resource.
Goudie C; Lunt D; Reid S; Sanders R
Ophthalmic Physiol Opt; 2014 Nov; 34(6):628-35. PubMed ID: 25223370
[TBL] [Abstract][Full Text] [Related]
12. Review of referrals reveal the impact of referral content on the triage and management of ophthalmology wait lists.
Khou V; Ly A; Moore L; Markoulli M; Kalloniatis M; Yapp M; Hennessy M; Zangerl B
BMJ Open; 2021 Sep; 11(9):e047246. PubMed ID: 34493511
[TBL] [Abstract][Full Text] [Related]
13. Triage of referrals to outpatient hepatology services: an ineffective tool to prioritise patients?
Horsfall L; Skoien R; Moss C; Scott I; Macdonald GA; Powell EE
Aust Health Rev; 2012 Nov; 36(4):443-7. PubMed ID: 23062780
[TBL] [Abstract][Full Text] [Related]
14. Triaging and coding ophthalmic emergency: the Rome Eye Scoring System for Urgency and Emergency (RESCUE): a pilot study of 1,000 eye-dedicated emergency room patients.
Rossi T; Boccassini B; Iossa M; Mutolo MG; Lesnoni G; Mutolo PA
Eur J Ophthalmol; 2007; 17(3):413-7. PubMed ID: 17534826
[TBL] [Abstract][Full Text] [Related]
15. Assessment of Automated Identification of Phases in Videos of Cataract Surgery Using Machine Learning and Deep Learning Techniques.
Yu F; Silva Croso G; Kim TS; Song Z; Parker F; Hager GD; Reiter A; Vedula SS; Ali H; Sikder S
JAMA Netw Open; 2019 Apr; 2(4):e191860. PubMed ID: 30951163
[TBL] [Abstract][Full Text] [Related]
16. Prospective analysis of emergency ophthalmic referrals in a Canadian tertiary teaching hospital.
Docherty G; Hwang J; Yang M; Eadie B; Clapson K; Siever J; Warner SJ
Can J Ophthalmol; 2018 Oct; 53(5):497-502. PubMed ID: 30340718
[TBL] [Abstract][Full Text] [Related]
17. Development and validation of a prognostic COVID-19 severity assessment (COSA) score and machine learning models for patient triage at a tertiary hospital.
Schöning V; Liakoni E; Baumgartner C; Exadaktylos AK; Hautz WE; Atkinson A; Hammann F
J Transl Med; 2021 Feb; 19(1):56. PubMed ID: 33546711
[TBL] [Abstract][Full Text] [Related]
18. Advancing care for acute gastrointestinal bleeding using artificial intelligence.
Shung DL
J Gastroenterol Hepatol; 2021 Feb; 36(2):273-278. PubMed ID: 33624892
[TBL] [Abstract][Full Text] [Related]
19. Development of lumbar spine MRI referrals vetting models using machine learning and deep learning algorithms: Comparison models vs healthcare professionals.
Alanazi AH; Cradock A; Rainford L
Radiography (Lond); 2022 Aug; 28(3):674-683. PubMed ID: 35700654
[TBL] [Abstract][Full Text] [Related]
20. Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.
Goto T; Camargo CA; Faridi MK; Freishtat RJ; Hasegawa K
JAMA Netw Open; 2019 Jan; 2(1):e186937. PubMed ID: 30646206
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
