183 related articles for article (PubMed ID: 38433189)
1. Natural language processing to identify lupus nephritis phenotype in electronic health records.
Deng Y; Pacheco JA; Ghosh A; Chung A; Mao C; Smith JC; Zhao J; Wei WQ; Barnado A; Dorn C; Weng C; Liu C; Cordon A; Yu J; Tedla Y; Kho A; Ramsey-Goldman R; Walunas T; Luo Y
BMC Med Inform Decis Mak; 2024 Mar; 22(Suppl 2):348. PubMed ID: 38433189
[TBL] [Abstract][Full Text] [Related]
2. Word2Vec inversion and traditional text classifiers for phenotyping lupus.
Turner CA; Jacobs AD; Marques CK; Oates JC; Kamen DL; Anderson PE; Obeid JS
BMC Med Inform Decis Mak; 2017 Aug; 17(1):126. PubMed ID: 28830409
[TBL] [Abstract][Full Text] [Related]
3. Identifying lupus patients in electronic health records: Development and validation of machine learning algorithms and application of rule-based algorithms.
Jorge A; Castro VM; Barnado A; Gainer V; Hong C; Cai T; Cai T; Carroll R; Denny JC; Crofford L; Costenbader KH; Liao KP; Karlson EW; Feldman CH
Semin Arthritis Rheum; 2019 Aug; 49(1):84-90. PubMed ID: 30665626
[TBL] [Abstract][Full Text] [Related]
4. Using a Multi-Institutional Pediatric Learning Health System to Identify Systemic Lupus Erythematosus and Lupus Nephritis: Development and Validation of Computable Phenotypes.
Wenderfer SE; Chang JC; Goodwin Davies A; Luna IY; Scobell R; Sears C; Magella B; Mitsnefes M; Stotter BR; Dharnidharka VR; Nowicki KD; Dixon BP; Kelton M; Flynn JT; Gluck C; Kallash M; Smoyer WE; Knight A; Sule S; Razzaghi H; Bailey LC; Furth SL; Forrest CB; Denburg MR; Atkinson MA
Clin J Am Soc Nephrol; 2022 Jan; 17(1):65-74. PubMed ID: 34732529
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression.
Van Vleck TT; Chan L; Coca SG; Craven CK; Do R; Ellis SB; Kannry JL; Loos RJF; Bonis PA; Cho J; Nadkarni GN
Int J Med Inform; 2019 Sep; 129():334-341. PubMed ID: 31445275
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Ensembles of natural language processing systems for portable phenotyping solutions.
Liu C; Ta CN; Rogers JR; Li Z; Lee J; Butler AM; Shang N; Kury FSP; Wang L; Shen F; Liu H; Ena L; Friedman C; Weng C
J Biomed Inform; 2019 Dec; 100():103318. PubMed ID: 31655273
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment.
Feller DJ; Zucker J; Yin MT; Gordon P; Elhadad N
J Acquir Immune Defic Syndr; 2018 Feb; 77(2):160-166. PubMed ID: 29084046
[TBL] [Abstract][Full Text] [Related]
12. Automatically identifying social isolation from clinical narratives for patients with prostate Cancer.
Zhu VJ; Lenert LA; Bunnell BE; Obeid JS; Jefferson M; Halbert CH
BMC Med Inform Decis Mak; 2019 Mar; 19(1):43. PubMed ID: 30871518
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Natural language processing to identify social determinants of health in Alzheimer's disease and related dementia from electronic health records.
Wu W; Holkeboer KJ; Kolawole TO; Carbone L; Mahmoudi E
Health Serv Res; 2023 Dec; 58(6):1292-1302. PubMed ID: 37534741
[TBL] [Abstract][Full Text] [Related]
15. Use of Natural Language Processing Tools to Identify and Classify Periprosthetic Femur Fractures.
Tibbo ME; Wyles CC; Fu S; Sohn S; Lewallen DG; Berry DJ; Maradit Kremers H
J Arthroplasty; 2019 Oct; 34(10):2216-2219. PubMed ID: 31416741
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Development of an automated phenotyping algorithm for hepatorenal syndrome.
Koola JD; Davis SE; Al-Nimri O; Parr SK; Fabbri D; Malin BA; Ho SB; Matheny ME
J Biomed Inform; 2018 Apr; 80():87-95. PubMed ID: 29530803
[TBL] [Abstract][Full Text] [Related]
18. Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.
Teixeira PL; Wei WQ; Cronin RM; Mo H; VanHouten JP; Carroll RJ; LaRose E; Bastarache LA; Rosenbloom ST; Edwards TL; Roden DM; Lasko TA; Dart RA; Nikolai AM; Peissig PL; Denny JC
J Am Med Inform Assoc; 2017 Jan; 24(1):162-171. PubMed ID: 27497800
[TBL] [Abstract][Full Text] [Related]
19. Comparing Natural Language Processing and Structured Medical Data to Develop a Computable Phenotype for Patients Hospitalized Due to COVID-19: Retrospective Analysis.
Chang F; Krishnan J; Hurst JH; Yarrington ME; Anderson DJ; O'Brien EC; Goldstein BA
JMIR Med Inform; 2023 Aug; 11():e46267. PubMed ID: 37621195
[TBL] [Abstract][Full Text] [Related]
20. Natural language processing algorithms for mapping clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies.
Kersloot MG; van Putten FJP; Abu-Hanna A; Cornet R; Arts DL
J Biomed Semantics; 2020 Nov; 11(1):14. PubMed ID: 33198814
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]