175 related articles for article (PubMed ID: 29614708)
1. Tobacco use status from clinical notes using Natural Language Processing and rule based algorithm.
Hegde H; Shimpi N; Glurich I; Acharya A
Technol Health Care; 2018; 26(3):445-456. PubMed ID: 29614708
[TBL] [Abstract][Full Text] [Related]
2. Natural language processing of clinical notes for identification of critical limb ischemia.
Afzal N; Mallipeddi VP; Sohn S; Liu H; Chaudhry R; Scott CG; Kullo IJ; Arruda-Olson AM
Int J Med Inform; 2018 Mar; 111():83-89. PubMed ID: 29425639
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Automated chart review utilizing natural language processing algorithm for asthma predictive index.
Kaur H; Sohn S; Wi CI; Ryu E; Park MA; Bachman K; Kita H; Croghan I; Castro-Rodriguez JA; Voge GA; Liu H; Juhn YJ
BMC Pulm Med; 2018 Feb; 18(1):34. PubMed ID: 29439692
[TBL] [Abstract][Full Text] [Related]
5. Mining peripheral arterial disease cases from narrative clinical notes using natural language processing.
Afzal N; Sohn S; Abram S; Scott CG; Chaudhry R; Liu H; Kullo IJ; Arruda-Olson AM
J Vasc Surg; 2017 Jun; 65(6):1753-1761. PubMed ID: 28189359
[TBL] [Abstract][Full Text] [Related]
6. Using natural language processing to identify opioid use disorder in electronic health record data.
Singleton J; Li C; Akpunonu PD; Abner EL; Kucharska-Newton AM
Int J Med Inform; 2023 Feb; 170():104963. PubMed ID: 36521420
[TBL] [Abstract][Full Text] [Related]
7. Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.
Koleck TA; Dreisbach C; Bourne PE; Bakken S
J Am Med Inform Assoc; 2019 Apr; 26(4):364-379. PubMed ID: 30726935
[TBL] [Abstract][Full Text] [Related]
8. Mining fall-related information in clinical notes: Comparison of rule-based and novel word embedding-based machine learning approaches.
Topaz M; Murga L; Gaddis KM; McDonald MV; Bar-Bachar O; Goldberg Y; Bowles KH
J Biomed Inform; 2019 Feb; 90():103103. PubMed ID: 30639392
[TBL] [Abstract][Full Text] [Related]
9. Identification of patients' smoking status using an explainable AI approach: a Danish electronic health records case study.
Ebrahimi A; Henriksen MBH; Brasen CL; Hilberg O; Hansen TF; Jensen LH; Peimankar A; Wiil UK
BMC Med Res Methodol; 2024 May; 24(1):114. PubMed ID: 38760718
[TBL] [Abstract][Full Text] [Related]
10. Identifying the Presence, Activity, and Status of Extraintestinal Manifestations of Inflammatory Bowel Disease Using Natural Language Processing of Clinical Notes.
Stidham RW; Yu D; Zhao X; Bishu S; Rice M; Bourque C; Vydiswaran VVG
Inflamm Bowel Dis; 2023 Apr; 29(4):503-510. PubMed ID: 35657296
[TBL] [Abstract][Full Text] [Related]
11. Identifying Information Gaps in Electronic Health Records by Using Natural Language Processing: Gynecologic Surgery History Identification.
Moon S; Carlson LA; Moser ED; Agnikula Kshatriya BS; Smith CY; Rocca WA; Gazzuola Rocca L; Bielinski SJ; Liu H; Larson NB
J Med Internet Res; 2022 Jan; 24(1):e29015. PubMed ID: 35089141
[TBL] [Abstract][Full Text] [Related]
12. Scaling-up NLP Pipelines to Process Large Corpora of Clinical Notes.
Divita G; Carter M; Redd A; Zeng Q; Gupta K; Trautner B; Samore M; Gundlapalli A
Methods Inf Med; 2015; 54(6):548-52. PubMed ID: 26534722
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study.
Sivarajkumar S; Gao F; Denny P; Aldhahwani B; Visweswaran S; Bove A; Wang Y
JMIR Med Inform; 2024 Apr; 12():e52289. PubMed ID: 38568736
[TBL] [Abstract][Full Text] [Related]
15. Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records.
Byrd RJ; Steinhubl SR; Sun J; Ebadollahi S; Stewart WF
Int J Med Inform; 2014 Dec; 83(12):983-92. PubMed ID: 23317809
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records.
Wang Y; Luo J; Hao S; Xu H; Shin AY; Jin B; Liu R; Deng X; Wang L; Zheng L; Zhao Y; Zhu C; Hu Z; Fu C; Hao Y; Zhao Y; Jiang Y; Dai D; Culver DS; Alfreds ST; Todd R; Stearns F; Sylvester KG; Widen E; Ling XB
Int J Med Inform; 2015 Dec; 84(12):1039-47. PubMed ID: 26254876
[TBL] [Abstract][Full Text] [Related]
18. Extracting important information from Chinese Operation Notes with natural language processing methods.
Wang H; Zhang W; Zeng Q; Li Z; Feng K; Liu L
J Biomed Inform; 2014 Apr; 48():130-6. PubMed ID: 24486562
[TBL] [Abstract][Full Text] [Related]
19. Natural language processing of radiology reports for identification of skeletal site-specific fractures.
Wang Y; Mehrabi S; Sohn S; Atkinson EJ; Amin S; Liu H
BMC Med Inform Decis Mak; 2019 Apr; 19(Suppl 3):73. PubMed ID: 30943952
[TBL] [Abstract][Full Text] [Related]
20. Generalizability and portability of natural language processing system to extract individual social risk factors.
Magoc T; Allen KS; McDonnell C; Russo JP; Cummins J; Vest JR; Harle CA
Int J Med Inform; 2023 Sep; 177():105115. PubMed ID: 37302362
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
