205 related articles for article (PubMed ID: 32361145)
1. Automated ICD coding via unsupervised knowledge integration (UNITE).
Sonabend W A; Cai W; Ahuja Y; Ananthakrishnan A; Xia Z; Yu S; Hong C
Int J Med Inform; 2020 Jul; 139():104135. PubMed ID: 32361145
[TBL] [Abstract][Full Text] [Related]
2. An empirical evaluation of deep learning for ICD-9 code assignment using MIMIC-III clinical notes.
Huang J; Osorio C; Sy LW
Comput Methods Programs Biomed; 2019 Aug; 177():141-153. PubMed ID: 31319942
[TBL] [Abstract][Full Text] [Related]
3. An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records.
Kavuluru R; Rios A; Lu Y
Artif Intell Med; 2015 Oct; 65(2):155-66. PubMed ID: 26054428
[TBL] [Abstract][Full Text] [Related]
4. Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record.
Jamian L; Wheless L; Crofford LJ; Barnado A
Arthritis Res Ther; 2019 Dec; 21(1):305. PubMed ID: 31888720
[TBL] [Abstract][Full Text] [Related]
5. Neural transfer learning for assigning diagnosis codes to EMRs.
Rios A; Kavuluru R
Artif Intell Med; 2019 May; 96():116-122. PubMed ID: 31164204
[TBL] [Abstract][Full Text] [Related]
6. DRCNN
Raz Bhutto S; Wu Y; Zeng M; Wahab Dogar A; Ullah K; Li M
Methods; 2022 Sep; 205():97-105. PubMed ID: 35781051
[TBL] [Abstract][Full Text] [Related]
7. Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy.
Marcou Q; Berti-Equille L; Novelli N
J Biomed Inform; 2024 Apr; 152():104617. PubMed ID: 38432534
[TBL] [Abstract][Full Text] [Related]
8. Enhancing ICD-Code-Based Case Definition for Heart Failure Using Electronic Medical Record Data.
Xu Y; Lee S; Martin E; D'souza AG; Doktorchik CTA; Jiang J; Lee S; Eastwood CA; Fine N; Hemmelgarn B; Todd K; Quan H
J Card Fail; 2020 Jul; 26(7):610-617. PubMed ID: 32304875
[TBL] [Abstract][Full Text] [Related]
9. Automated feature selection of predictors in electronic medical records data.
Gronsbell J; Minnier J; Yu S; Liao K; Cai T
Biometrics; 2019 Mar; 75(1):268-277. PubMed ID: 30353541
[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. Challenges of Using ICD-9-CM and ICD-10-CM Codes for Soft-Tissue Sarcoma in Databases for Health Services Research.
Hess LM; Zhu YE; Sugihara T; Fang Y; Collins N; Nicol S
Perspect Health Inf Manag; 2019; 16(Spring):1a. PubMed ID: 31019431
[TBL] [Abstract][Full Text] [Related]
12. Medical code prediction via capsule networks and ICD knowledge.
Bao W; Lin H; Zhang Y; Wang J; Zhang S
BMC Med Inform Decis Mak; 2021 Jul; 21(Suppl 2):55. PubMed ID: 34330264
[TBL] [Abstract][Full Text] [Related]
13. Automated ICD-10 code assignment of nonstandard diagnoses via a two-stage framework.
Mou C; Ren J
Artif Intell Med; 2020 Aug; 108():101939. PubMed ID: 32972666
[TBL] [Abstract][Full Text] [Related]
14. Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation.
Dong H; Suárez-Paniagua V; Whiteley W; Wu H
J Biomed Inform; 2021 Apr; 116():103728. PubMed ID: 33711543
[TBL] [Abstract][Full Text] [Related]
15. Data integration of structured and unstructured sources for assigning clinical codes to patient stays.
Scheurwegs E; Luyckx K; Luyten L; Daelemans W; Van den Bulcke T
J Am Med Inform Assoc; 2016 Apr; 23(e1):e11-9. PubMed ID: 26316458
[TBL] [Abstract][Full Text] [Related]
16. Supervised Text Classification System Detects Fontan Patients in Electronic Records With Higher Accuracy Than
Guo Y; Al-Garadi MA; Book WM; Ivey LC; Rodriguez FH; Raskind-Hood CL; Robichaux C; Sarker A
J Am Heart Assoc; 2023 Jul; 12(13):e030046. PubMed ID: 37345821
[TBL] [Abstract][Full Text] [Related]
17. Incorporating natural language processing to improve classification of axial spondyloarthritis using electronic health records.
Zhao SS; Hong C; Cai T; Xu C; Huang J; Ermann J; Goodson NJ; Solomon DH; Cai T; Liao KP
Rheumatology (Oxford); 2020 May; 59(5):1059-1065. PubMed ID: 31535693
[TBL] [Abstract][Full Text] [Related]
18. Automated ICD-9 Coding via A Deep Learning Approach.
Li M; Fei Z; Zeng M; Wu FX; Li Y; Pan Y; Wang J
IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(4):1193-1202. PubMed ID: 29994157
[TBL] [Abstract][Full Text] [Related]
19. Supervised Learning for the ICD-10 Coding of French Clinical Narratives.
Dalloux C; Claveau V; Cuggia M; Bouzillé G; Grabar N
Stud Health Technol Inform; 2020 Jun; 270():427-431. PubMed ID: 32570420
[TBL] [Abstract][Full Text] [Related]
20. Hyperbolic graph convolutional neural network with contrastive learning for automated ICD coding.
Wu Y; Chen X; Yao X; Yu Y; Chen Z
Comput Biol Med; 2024 Jan; 168():107797. PubMed ID: 38043468
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
