172 related articles for article (PubMed ID: 35299265)
1. Identifying Pneumonia Subtypes from Electronic Health Records Using Rule-Based Algorithms.
Hegde H; Glurich I; Panny A; Vedre JG; VanWormer JJ; Berg R; Scannapieco FA; Miecznikowski J; Acharya A
Methods Inf Med; 2022 May; 61(1-02):29-37. PubMed ID: 35299265
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Determining diagnosis date of diabetes using structured electronic health record (EHR) data: the SEARCH for diabetes in youth study.
Lenoir KM; Wagenknecht LE; Divers J; Casanova R; Dabelea D; Saydah S; Pihoker C; Liese AD; Standiford D; Hamman R; Wells BJ;
BMC Med Res Methodol; 2021 Oct; 21(1):210. PubMed ID: 34629073
[TBL] [Abstract][Full Text] [Related]
4. Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record.
Jamian L; Wheless L; Crofford LJ; Barnado A
Arthritis Res Ther; 2019 Dec; 21(1):305. PubMed ID: 31888720
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Accuracy of phenotyping chronic rhinosinusitis in the electronic health record.
Hsu J; Pacheco JA; Stevens WW; Smith ME; Avila PC
Am J Rhinol Allergy; 2014; 28(2):140-4. PubMed ID: 24717952
[TBL] [Abstract][Full Text] [Related]
7. Validation of algorithms for identifying outpatient infections in MS patients using electronic medical records.
Smith JB; Li BH; Gonzales EG; Langer-Gould A
Mult Scler Relat Disord; 2022 Jan; 57():103449. PubMed ID: 34915315
[TBL] [Abstract][Full Text] [Related]
8. Developing and Validating Methods to Assemble Systemic Lupus Erythematosus Births in the Electronic Health Record.
Barnado A; Eudy AM; Blaske A; Wheless L; Kirchoff K; Oates JC; Clowse MEB
Arthritis Care Res (Hoboken); 2022 May; 74(5):849-857. PubMed ID: 33253488
[TBL] [Abstract][Full Text] [Related]
9. Incorporating natural language processing to improve classification of axial spondyloarthritis using electronic health records.
Zhao SS; Hong C; Cai T; Xu C; Huang J; Ermann J; Goodson NJ; Solomon DH; Cai T; Liao KP
Rheumatology (Oxford); 2020 May; 59(5):1059-1065. PubMed ID: 31535693
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of an Algorithm for Identifying Ocular Conditions in Electronic Health Record Data.
Stein JD; Rahman M; Andrews C; Ehrlich JR; Kamat S; Shah M; Boese EA; Woodward MA; Cowall J; Trager EH; Narayanaswamy P; Hanauer DA
JAMA Ophthalmol; 2019 May; 137(5):491-497. PubMed ID: 30789656
[TBL] [Abstract][Full Text] [Related]
11. Validation for using electronic health records to identify community acquired pneumonia hospitalization among people with and without HIV.
Rodriguez-Barradas MC; McGinnis KA; Akgün K; Tate JP; Brown ST; Butt AA; Fine M; Goetz MB; Graber CJ; Huang L; Rimland D; Justice A; Crothers K
Pneumonia (Nathan); 2020; 12():6. PubMed ID: 32724760
[TBL] [Abstract][Full Text] [Related]
12. Supervised Text Classification System Detects Fontan Patients in Electronic Records With Higher Accuracy Than
Guo Y; Al-Garadi MA; Book WM; Ivey LC; Rodriguez FH; Raskind-Hood CL; Robichaux C; Sarker A
J Am Heart Assoc; 2023 Jul; 12(13):e030046. PubMed ID: 37345821
[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. Optimizing research in symptomatic uterine fibroids with development of a computable phenotype for use with electronic health records.
Hoffman SR; Vines AI; Halladay JR; Pfaff E; Schiff L; Westreich D; Sundaresan A; Johnson LS; Nicholson WK
Am J Obstet Gynecol; 2018 Jun; 218(6):610.e1-610.e7. PubMed ID: 29432754
[TBL] [Abstract][Full Text] [Related]
15. Implementer report: ICD-10 code F44.5 review for functional seizure disorder.
Ali SF; Bornovski Y; Gopaul M; Galluzzo D; Goulet J; Argraves S; Jackson-Shaheed E; Cheung KH; Brandt CA; Altalib HH
BMJ Health Care Inform; 2023 Sep; 30(1):. PubMed ID: 37730251
[TBL] [Abstract][Full Text] [Related]
16. Enhancing ICD-Code-Based Case Definition for Heart Failure Using Electronic Medical Record Data.
Xu Y; Lee S; Martin E; D'souza AG; Doktorchik CTA; Jiang J; Lee S; Eastwood CA; Fine N; Hemmelgarn B; Todd K; Quan H
J Card Fail; 2020 Jul; 26(7):610-617. PubMed ID: 32304875
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. TraumaICD Bidirectional Encoder Representation From Transformers: A Natural Language Processing Algorithm to Extract Injury International Classification of Diseases, 10th Edition Diagnosis Code From Free Text.
Choi J; Chen Y; Sivura A; Vendrow EB; Wang J; Spain DA
Ann Surg; 2024 Jul; 280(1):150-155. PubMed ID: 37753654
[TBL] [Abstract][Full Text] [Related]
19. Developing a Classification Algorithm for Prediabetes Risk Detection From Home Care Nursing Notes: Using Natural Language Processing.
Jeon E; Kim A; Lee J; Heo H; Lee H; Woo K
Comput Inform Nurs; 2023 Jul; 41(7):539-547. PubMed ID: 37165830
[TBL] [Abstract][Full Text] [Related]
20. A Methodological Approach to Validate Pneumonia Encounters from Radiology Reports Using Natural Language Processing.
Panny A; Hegde H; Glurich I; Scannapieco FA; Vedre JG; VanWormer JJ; Miecznikowski J; Acharya A
Methods Inf Med; 2022 May; 61(1-02):38-45. PubMed ID: 35381617
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]