222 related articles for article (PubMed ID: 31730700)
1. Using convolutional neural networks to identify patient safety incident reports by type and severity.
Wang Y; Coiera E; Magrabi F
J Am Med Inform Assoc; 2019 Dec; 26(12):1600-1608. PubMed ID: 31730700
[TBL] [Abstract][Full Text] [Related]
2. Can Unified Medical Language System-based semantic representation improve automated identification of patient safety incident reports by type and severity?
Wang Y; Coiera E; Magrabi F
J Am Med Inform Assoc; 2020 Oct; 27(10):1502-1509. PubMed ID: 32574362
[TBL] [Abstract][Full Text] [Related]
3. Using multiclass classification to automate the identification of patient safety incident reports by type and severity.
Wang Y; Coiera E; Runciman W; Magrabi F
BMC Med Inform Decis Mak; 2017 Jun; 17(1):84. PubMed ID: 28606174
[TBL] [Abstract][Full Text] [Related]
4. Automated identification of extreme-risk events in clinical incident reports.
Ong MS; Magrabi F; Coiera E
J Am Med Inform Assoc; 2012 Jun; 19(e1):e110-8. PubMed ID: 22237865
[TBL] [Abstract][Full Text] [Related]
5. Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks.
Alawad M; Gao S; Qiu JX; Yoon HJ; Blair Christian J; Penberthy L; Mumphrey B; Wu XC; Coyle L; Tourassi G
J Am Med Inform Assoc; 2020 Jan; 27(1):89-98. PubMed ID: 31710668
[TBL] [Abstract][Full Text] [Related]
6. Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models.
Du J; Tang L; Xiang Y; Zhi D; Xu J; Song HY; Tao C
J Med Internet Res; 2018 Jul; 20(7):e236. PubMed ID: 29986843
[TBL] [Abstract][Full Text] [Related]
7. Medication-rights detection using incident reports: A natural language processing and deep neural network approach.
Wong ZS; So HY; Kwok BS; Lai MW; Sun DT
Health Informatics J; 2020 Sep; 26(3):1777-1794. PubMed ID: 31820664
[TBL] [Abstract][Full Text] [Related]
8. Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.
Banerjee I; Ling Y; Chen MC; Hasan SA; Langlotz CP; Moradzadeh N; Chapman B; Amrhein T; Mong D; Rubin DL; Farri O; Lungren MP
Artif Intell Med; 2019 Jun; 97():79-88. PubMed ID: 30477892
[TBL] [Abstract][Full Text] [Related]
9. Automated validation of patient safety clinical incident classification: macro analysis.
Gupta J; Patrick J
Stud Health Technol Inform; 2013; 188():52-7. PubMed ID: 23823288
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Transferability of artificial neural networks for clinical document classification across hospitals: A case study on abnormality detection from radiology reports.
Hassanzadeh H; Nguyen A; Karimi S; Chu K
J Biomed Inform; 2018 Sep; 85():68-79. PubMed ID: 30026067
[TBL] [Abstract][Full Text] [Related]
12. Fundamental Heart Sound Classification using the Continuous Wavelet Transform and Convolutional Neural Networks.
Meintjes A; Lowe A; Legget M
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():409-412. PubMed ID: 30440420
[TBL] [Abstract][Full Text] [Related]
13. Automating the Identification of Patient Safety Incident Reports Using Multi-Label Classification.
Wang Y; Coiera E; Runciman W; Magrabi F
Stud Health Technol Inform; 2017; 245():609-613. PubMed ID: 29295168
[TBL] [Abstract][Full Text] [Related]
14. Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls.
Hu M; Sim K; Zhou JH; Jiang X; Guan C
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1742-1745. PubMed ID: 33018334
[TBL] [Abstract][Full Text] [Related]
15. Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification.
Zhang Y; Allem JP; Unger JB; Boley Cruz T
J Med Internet Res; 2018 Nov; 20(11):e10513. PubMed ID: 30452385
[TBL] [Abstract][Full Text] [Related]
16. Classification of schizophrenia and normal controls using 3D convolutional neural network and outcome visualization.
Oh K; Kim W; Shen G; Piao Y; Kang NI; Oh IS; Chung YC
Schizophr Res; 2019 Oct; 212():186-195. PubMed ID: 31395487
[TBL] [Abstract][Full Text] [Related]
17. Automated Taxonomic Identification of Insects with Expert-Level Accuracy Using Effective Feature Transfer from Convolutional Networks.
Valan M; Makonyi K; Maki A; Vondráček D; Ronquist F
Syst Biol; 2019 Nov; 68(6):876-895. PubMed ID: 30825372
[TBL] [Abstract][Full Text] [Related]
18. Evaluating resampling methods and structured features to improve fall incident report identification by the severity level.
Liu J; Wong ZSY; So HY; Tsui KL
J Am Med Inform Assoc; 2021 Jul; 28(8):1756-1764. PubMed ID: 34010385
[TBL] [Abstract][Full Text] [Related]
19. Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process.
Feng W; Halm-Lutterodt NV; Tang H; Mecum A; Mesregah MK; Ma Y; Li H; Zhang F; Wu Z; Yao E; Guo X
Int J Neural Syst; 2020 Jun; 30(6):2050032. PubMed ID: 32498641
[TBL] [Abstract][Full Text] [Related]
20. Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches.
Evans HP; Anastasiou A; Edwards A; Hibbert P; Makeham M; Luz S; Sheikh A; Donaldson L; Carson-Stevens A
Health Informatics J; 2020 Dec; 26(4):3123-3139. PubMed ID: 30843455
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]