166 related articles for article (PubMed ID: 31801515)
21. Extracting and integrating data from entire electronic health records for detecting colorectal cancer cases.
Xu H; Fu Z; Shah A; Chen Y; Peterson NB; Chen Q; Mani S; Levy MA; Dai Q; Denny JC
AMIA Annu Symp Proc; 2011; 2011():1564-72. PubMed ID: 22195222
[TBL] [Abstract][Full Text] [Related]
22. Assessing the Documentation of Social Determinants of Health for Lung Cancer Patients in Clinical Narratives.
Yu Z; Yang X; Guo Y; Bian J; Wu Y
Front Public Health; 2022; 10():778463. PubMed ID: 35419333
[TBL] [Abstract][Full Text] [Related]
23. Achievability to Extract Specific Date Information for Cancer Research.
Wang L; Wampfler J; Dispenzieri A; Xu H; Yang P; Liu H
AMIA Annu Symp Proc; 2019; 2019():893-902. PubMed ID: 32308886
[TBL] [Abstract][Full Text] [Related]
24. Application of Natural Language Processing in Total Joint Arthroplasty: Opportunities and Challenges.
Nugen F; Vera Garcia DV; Sohn S; Mickley JP; Wyles CC; Erickson BJ; Taunton MJ
J Arthroplasty; 2023 Oct; 38(10):1948-1953. PubMed ID: 37619802
[TBL] [Abstract][Full Text] [Related]
25. Recommended practices and ethical considerations for natural language processing-assisted observational research: A scoping review.
Fu S; Wang L; Moon S; Zong N; He H; Pejaver V; Relevo R; Walden A; Haendel M; Chute CG; Liu H
Clin Transl Sci; 2023 Mar; 16(3):398-411. PubMed ID: 36478394
[TBL] [Abstract][Full Text] [Related]
26. Development and evaluation of RapTAT: a machine learning system for concept mapping of phrases from medical narratives.
Gobbel GT; Reeves R; Jayaramaraja S; Giuse D; Speroff T; Brown SH; Elkin PL; Matheny ME
J Biomed Inform; 2014 Apr; 48():54-65. PubMed ID: 24316051
[TBL] [Abstract][Full Text] [Related]
27. Exploring Negated Entites for Named Entity Recognition in Italian Lung Cancer Clinical Reports.
Paolo D; Bria A; Greco C; Russano M; Ramella S; Soda P; Sicilia R
Stud Health Technol Inform; 2024 May; 314():98-102. PubMed ID: 38785011
[TBL] [Abstract][Full Text] [Related]
28. Reconstructing the patient's natural history from electronic health records.
Najafabadipour M; Zanin M; Rodríguez-González A; Torrente M; Nuñez García B; Cruz Bermudez JL; Provencio M; Menasalvas E
Artif Intell Med; 2020 May; 105():101860. PubMed ID: 32505419
[TBL] [Abstract][Full Text] [Related]
29. Natural Language Processing Accurately Calculates Adenoma and Sessile Serrated Polyp Detection Rates.
Nayor J; Borges LF; Goryachev S; Gainer VS; Saltzman JR
Dig Dis Sci; 2018 Jul; 63(7):1794-1800. PubMed ID: 29696479
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Using natural language processing to extract clinically useful information from Chinese electronic medical records.
Chen L; Song L; Shao Y; Li D; Ding K
Int J Med Inform; 2019 Apr; 124():6-12. PubMed ID: 30784428
[TBL] [Abstract][Full Text] [Related]
32. Clinical Concept Normalization on Medical Records Using Word Embeddings and Heuristics.
Silva JF; Antunes R; Almeida JR; Matos S
Stud Health Technol Inform; 2020 Jun; 270():93-97. PubMed ID: 32570353
[TBL] [Abstract][Full Text] [Related]
33. Comparison of Natural Language Processing and Manual Coding for the Identification of Cross-Sectional Imaging Reports Suspicious for Lung Cancer.
Wadia R; Akgun K; Brandt C; Fenton BT; Levin W; Marple AH; Garla V; Rose MG; Taddei T; Taylor C
JCO Clin Cancer Inform; 2018 Dec; 2():1-7. PubMed ID: 30652545
[TBL] [Abstract][Full Text] [Related]
34. Representing and utilizing clinical textual data for real world studies: An OHDSI approach.
Keloth VK; Banda JM; Gurley M; Heider PM; Kennedy G; Liu H; Liu F; Miller T; Natarajan K; V Patterson O; Peng Y; Raja K; Reeves RM; Rouhizadeh M; Shi J; Wang X; Wang Y; Wei WQ; Williams AE; Zhang R; Belenkaya R; Reich C; Blacketer C; Ryan P; Hripcsak G; Elhadad N; Xu H
J Biomed Inform; 2023 Jun; 142():104343. PubMed ID: 36935011
[TBL] [Abstract][Full Text] [Related]
35. Classification of cancer stage from free-text histology reports.
McCowan I; Moore D; Fry MJ
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():5153-6. PubMed ID: 17945879
[TBL] [Abstract][Full Text] [Related]
36. The implementation of natural language processing to extract index lesions from breast magnetic resonance imaging reports.
Liu Y; Liu Q; Han C; Zhang X; Wang X
BMC Med Inform Decis Mak; 2019 Dec; 19(1):288. PubMed ID: 31888615
[TBL] [Abstract][Full Text] [Related]
37. Using natural language processing to identify problem usage of prescription opioids.
Carrell DS; Cronkite D; Palmer RE; Saunders K; Gross DE; Masters ET; Hylan TR; Von Korff M
Int J Med Inform; 2015 Dec; 84(12):1057-64. PubMed ID: 26456569
[TBL] [Abstract][Full Text] [Related]
38. Natural Language Processing in Oncology: A Review.
Yim WW; Yetisgen M; Harris WP; Kwan SW
JAMA Oncol; 2016 Jun; 2(6):797-804. PubMed ID: 27124593
[TBL] [Abstract][Full Text] [Related]
39. An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing.
Bozkurt S; Park JI; Kan KM; Ferrari M; Rubin DL; Brooks JD; Hernandez-Boussard T
AMIA Annu Symp Proc; 2018; 2018():288-294. PubMed ID: 30815067
[TBL] [Abstract][Full Text] [Related]
40. A method for cohort selection of cardiovascular disease records from an electronic health record system.
Abrahão MTF; Nobre MRC; Gutierrez MA
Int J Med Inform; 2017 Jun; 102():138-149. PubMed ID: 28495342
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
