193 related articles for article (PubMed ID: 27836816)
1. Web-based Real-Time Case Finding for the Population Health Management of Patients With Diabetes Mellitus: A Prospective Validation of the Natural Language Processing-Based Algorithm With Statewide Electronic Medical Records.
Zheng L; Wang Y; Hao S; Shin AY; Jin B; Ngo AD; Jackson-Browne MS; Feller DJ; Fu T; Zhang K; Zhou X; Zhu C; Dai D; Yu Y; Zheng G; Li YM; McElhinney DB; Culver DS; Alfreds ST; Stearns F; Sylvester KG; Widen E; Ling XB
JMIR Med Inform; 2016 Nov; 4(4):e37. PubMed ID: 27836816
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Natural Language Processing of Clinical Notes to Identify Mental Illness and Substance Use Among People Living with HIV: Retrospective Cohort Study.
Ridgway JP; Uvin A; Schmitt J; Oliwa T; Almirol E; Devlin S; Schneider J
JMIR Med Inform; 2021 Mar; 9(3):e23456. PubMed ID: 33688848
[TBL] [Abstract][Full Text] [Related]
4. Identifying Diabetes Related-Complications in a Real-World Free-Text Electronic Medical Records in Hebrew Using Natural Language Processing Techniques.
Saban M; Lutski M; Zucker I; Uziel M; Ben-Moshe D; Israel A; Vinker S; Golan-Cohen A; Laufer I; Green I; Eldor R; Merzon E
J Diabetes Sci Technol; 2024 Jan; ():19322968241228555. PubMed ID: 38288672
[TBL] [Abstract][Full Text] [Related]
5. Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System.
Malden DE; Tartof SY; Ackerson BK; Hong V; Skarbinski J; Yau V; Qian L; Fischer H; Shaw SF; Caparosa S; Xie F
JMIR Public Health Surveill; 2022 Dec; 8(12):e41529. PubMed ID: 36446133
[TBL] [Abstract][Full Text] [Related]
6. Identifying Cases of Shoulder Injury Related to Vaccine Administration (SIRVA) in the United States: Development and Validation of a Natural Language Processing Method.
Zheng C; Duffy J; Liu IA; Sy LS; Navarro RA; Kim SS; Ryan DS; Chen W; Qian L; Mercado C; Jacobsen SJ
JMIR Public Health Surveill; 2022 May; 8(5):e30426. PubMed ID: 35608886
[TBL] [Abstract][Full Text] [Related]
7. Real-time web-based assessment of total population risk of future emergency department utilization: statewide prospective active case finding study.
Hu Z; Jin B; Shin AY; Zhu C; Zhao Y; Hao S; Zheng L; Fu C; Wen Q; Ji J; Li Z; Wang Y; Zheng X; Dai D; Culver DS; Alfreds ST; Rogow T; Stearns F; Sylvester KG; Widen E; Ling XB
Interact J Med Res; 2015 Jan; 4(1):e2. PubMed ID: 25586600
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Cerebrovascular disease case identification in inpatient electronic medical record data using natural language processing.
Pan J; Zhang Z; Peters SR; Vatanpour S; Walker RL; Lee S; Martin EA; Quan H
Brain Inform; 2023 Sep; 10(1):22. PubMed ID: 37658963
[TBL] [Abstract][Full Text] [Related]
10. Natural Language Processing for Asthma Ascertainment in Different Practice Settings.
Wi CI; Sohn S; Ali M; Krusemark E; Ryu E; Liu H; Juhn YJ
J Allergy Clin Immunol Pract; 2018; 6(1):126-131. PubMed ID: 28634104
[TBL] [Abstract][Full Text] [Related]
11. Developing an Inpatient Electronic Medical Record Phenotype for Hospital-Acquired Pressure Injuries: Case Study Using Natural Language Processing Models.
Nurmambetova E; Pan J; Zhang Z; Wu G; Lee S; Southern DA; Martin EA; Ho C; Xu Y; Eastwood CA
JMIR AI; 2023 Mar; 2():e41264. PubMed ID: 38875552
[TBL] [Abstract][Full Text] [Related]
12. Assessing occurrence of hypoglycemia and its severity from electronic health records of patients with type 2 diabetes mellitus.
Nunes AP; Yang J; Radican L; Engel SS; Kurtyka K; Tunceli K; Yu S; Iglay K; Doherty MC; Dore DD
Diabetes Res Clin Pract; 2016 Nov; 121():192-203. PubMed ID: 27744128
[TBL] [Abstract][Full Text] [Related]
13. The use of natural language processing to identify vaccine-related anaphylaxis at five health care systems in the Vaccine Safety Datalink.
Yu W; Zheng C; Xie F; Chen W; Mercado C; Sy LS; Qian L; Glenn S; Tseng HF; Lee G; Duffy J; McNeil MM; Daley MF; Crane B; McLean HQ; Jackson LA; Jacobsen SJ
Pharmacoepidemiol Drug Saf; 2020 Feb; 29(2):182-188. PubMed ID: 31797475
[TBL] [Abstract][Full Text] [Related]
14. Near Real-time Natural Language Processing for the Extraction of Abdominal Aortic Aneurysm Diagnoses From Radiology Reports: Algorithm Development and Validation Study.
Gaviria-Valencia S; Murphy SP; Kaggal VC; McBane Ii RD; Rooke TW; Chaudhry R; Alzate-Aguirre M; Arruda-Olson AM
JMIR Med Inform; 2023 Feb; 11():e40964. PubMed ID: 36826984
[TBL] [Abstract][Full Text] [Related]
15. Development of a natural language processing algorithm to detect chronic cough in electronic health records.
Bali V; Weaver J; Turzhitsky V; Schelfhout J; Paudel ML; Hulbert E; Peterson-Brandt J; Currie AG; Bakka D
BMC Pulm Med; 2022 Jun; 22(1):256. PubMed ID: 35764999
[TBL] [Abstract][Full Text] [Related]
16. The Food and Drug Administration Biologics Effectiveness and Safety Initiative Facilitates Detection of Vaccine Administrations From Unstructured Data in Medical Records Through Natural Language Processing.
Deady M; Ezzeldin H; Cook K; Billings D; Pizarro J; Plotogea AA; Saunders-Hastings P; Belov A; Whitaker BI; Anderson SA
Front Digit Health; 2021; 3():777905. PubMed ID: 35005697
[No Abstract] [Full Text] [Related]
17. 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]
18. Natural Language Processing Combined with ICD-9-CM Codes as a Novel Method to Study the Epidemiology of Allergic Drug Reactions.
Banerji A; Lai KH; Li Y; Saff RR; Camargo CA; Blumenthal KG; Zhou L
J Allergy Clin Immunol Pract; 2020 Mar; 8(3):1032-1038.e1. PubMed ID: 31857264
[TBL] [Abstract][Full Text] [Related]
19. Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts.
Liao KP; Ananthakrishnan AN; Kumar V; Xia Z; Cagan A; Gainer VS; Goryachev S; Chen P; Savova GK; Agniel D; Churchill S; Lee J; Murphy SN; Plenge RM; Szolovits P; Kohane I; Shaw SY; Karlson EW; Cai T
PLoS One; 2015; 10(8):e0136651. PubMed ID: 26301417
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
