568 related articles for article (PubMed ID: 35608136)
1. Facilitating clinical research through automation: Combining optical character recognition with natural language processing.
Hom J; Nikowitz J; Ottesen R; Niland JC
Clin Trials; 2022 Oct; 19(5):504-511. PubMed ID: 35608136
[TBL] [Abstract][Full Text] [Related]
2. Automated medical chart review for breast cancer outcomes research: a novel natural language processing extraction system.
Chen Y; Hao L; Zou VZ; Hollander Z; Ng RT; Isaac KV
BMC Med Res Methodol; 2022 May; 22(1):136. PubMed ID: 35549854
[TBL] [Abstract][Full Text] [Related]
3. Information extraction from multi-institutional radiology reports.
Hassanpour S; Langlotz CP
Artif Intell Med; 2016 Jan; 66():29-39. PubMed ID: 26481140
[TBL] [Abstract][Full Text] [Related]
4. Extracting laboratory test information from paper-based reports.
Ma MW; Gao XS; Zhang ZY; Shang SY; Jin L; Liu PL; Lv F; Ni W; Han YC; Zong H
BMC Med Inform Decis Mak; 2023 Nov; 23(1):251. PubMed ID: 37932733
[TBL] [Abstract][Full Text] [Related]
5. Programming techniques for improving rule readability for rule-based information extraction natural language processing pipelines of unstructured and semi-structured medical texts.
Ladas N; Borchert F; Franz S; Rehberg A; Strauch N; Sommer KK; Marschollek M; Gietzelt M
Health Informatics J; 2023; 29(2):14604582231164696. PubMed ID: 37068028
[TBL] [Abstract][Full Text] [Related]
6. Automatic classification of scanned electronic health record documents.
Goodrum H; Roberts K; Bernstam EV
Int J Med Inform; 2020 Dec; 144():104302. PubMed ID: 33091829
[TBL] [Abstract][Full Text] [Related]
7. Identification of Preanesthetic History Elements by a Natural Language Processing Engine.
Suh HS; Tully JL; Meineke MN; Waterman RS; Gabriel RA
Anesth Analg; 2022 Dec; 135(6):1162-1171. PubMed ID: 35841317
[TBL] [Abstract][Full Text] [Related]
8. Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing.
Wulff A; Mast M; Hassler M; Montag S; Marschollek M; Jack T
Methods Inf Med; 2020 Dec; 59(S 02):e64-e78. PubMed ID: 33058101
[TBL] [Abstract][Full Text] [Related]
9. Validation of a Zero-shot Learning Natural Language Processing Tool to Facilitate Data Abstraction for Urologic Research.
Kaufmann B; Busby D; Das CK; Tillu N; Menon M; Tewari AK; Gorin MA
Eur Urol Focus; 2024 Jan; ():. PubMed ID: 38278710
[TBL] [Abstract][Full Text] [Related]
10. An automated data verification approach for improving data quality in a clinical registry.
Tian Q; Liu M; Min L; An J; Lu X; Duan H
Comput Methods Programs Biomed; 2019 Nov; 181():104840. PubMed ID: 30777618
[TBL] [Abstract][Full Text] [Related]
11. Detecting the presence of an indwelling urinary catheter and urinary symptoms in hospitalized patients using natural language processing.
Gundlapalli AV; Divita G; Redd A; Carter ME; Ko D; Rubin M; Samore M; Strymish J; Krein S; Gupta K; Sales A; Trautner BW
J Biomed Inform; 2017 Jul; 71S():S39-S45. PubMed ID: 27404849
[TBL] [Abstract][Full Text] [Related]
12. Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.
Caccamisi A; Jørgensen L; Dalianis H; Rosenlund M
Ups J Med Sci; 2020 Nov; 125(4):316-324. PubMed ID: 32696698
[TBL] [Abstract][Full Text] [Related]
13. Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system.
Fonferko-Shadrach B; Lacey AS; Roberts A; Akbari A; Thompson S; Ford DV; Lyons RA; Rees MI; Pickrell WO
BMJ Open; 2019 Apr; 9(4):e023232. PubMed ID: 30940752
[TBL] [Abstract][Full Text] [Related]
14. Structuring Legacy Pathology Reports by openEHR Archetypes to Enable Semantic Querying.
Kropf S; Krücken P; Mueller W; Denecke K
Methods Inf Med; 2017 May; 56(3):230-237. PubMed ID: 28244546
[TBL] [Abstract][Full Text] [Related]
15. Natural Language Processing to Identify Advance Care Planning Documentation in a Multisite Pragmatic Clinical Trial.
Lindvall C; Deng CY; Moseley E; Agaronnik N; El-Jawahri A; Paasche-Orlow MK; Lakin JR; Volandes A; Tulsky TAIJA
J Pain Symptom Manage; 2022 Jan; 63(1):e29-e36. PubMed ID: 34271146
[TBL] [Abstract][Full Text] [Related]
16. Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes.
Steinkamp JM; Bala W; Sharma A; Kantrowitz JJ
J Biomed Inform; 2020 Feb; 102():103354. PubMed ID: 31838210
[TBL] [Abstract][Full Text] [Related]
17. Importance of multi-modal approaches to effectively identify cataract cases from electronic health records.
Peissig PL; Rasmussen LV; Berg RL; Linneman JG; McCarty CA; Waudby C; Chen L; Denny JC; Wilke RA; Pathak J; Carrell D; Kho AN; Starren JB
J Am Med Inform Assoc; 2012; 19(2):225-34. PubMed ID: 22319176
[TBL] [Abstract][Full Text] [Related]
18. External Validation of Natural Language Processing Algorithms to Extract Common Data Elements in THA Operative Notes.
Wyles CC; Fu S; Odum SL; Rowe T; Habet NA; Berry DJ; Lewallen DG; Maradit-Kremers H; Sohn S; Springer BD
J Arthroplasty; 2023 Oct; 38(10):2081-2084. PubMed ID: 36280160
[TBL] [Abstract][Full Text] [Related]
19. [A customized method for information extraction from unstructured text data in the electronic medical records].
Bao XY; Huang WJ; Zhang K; Jin M; Li Y; Niu CZ
Beijing Da Xue Xue Bao Yi Xue Ban; 2018 Apr; 50(2):256-263. PubMed ID: 29643524
[TBL] [Abstract][Full Text] [Related]
20. Obtaining Knowledge in Pathology Reports Through a Natural Language Processing Approach With Classification, Named-Entity Recognition, and Relation-Extraction Heuristics.
Oliwa T; Maron SB; Chase LM; Lomnicki S; Catenacci DVT; Furner B; Volchenboum SL
JCO Clin Cancer Inform; 2019 Aug; 3():1-8. PubMed ID: 31365274
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]