198 related articles for article (PubMed ID: 34915315)
1. 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]
2. 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]
3. Validating Use of Electronic Health Data to Identify Patients with Urinary Tract Infections in Outpatient Settings.
Germanos G; Light P; Zoorob R; Salemi J; Khan F; Hansen M; Gupta K; Trautner B; Grigoryan L
Antibiotics (Basel); 2020 Aug; 9(9):. PubMed ID: 32854205
[TBL] [Abstract][Full Text] [Related]
4. A systematic review of validated methods for identifying patients with rheumatoid arthritis using administrative or claims data.
Chung CP; Rohan P; Krishnaswami S; McPheeters ML
Vaccine; 2013 Dec; 31 Suppl 10():K41-61. PubMed ID: 24331074
[TBL] [Abstract][Full Text] [Related]
5. Multiple Sclerosis, Disease-Modifying Therapies, and Infections.
Langer-Gould AM; Smith JB; Gonzales EG; Piehl F; Li BH
Neurol Neuroimmunol Neuroinflamm; 2023 Nov; 10(6):. PubMed ID: 37813594
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Developing Electronic Health Record Algorithms That Accurately Identify Patients With Systemic Lupus Erythematosus.
Barnado A; Casey C; Carroll RJ; Wheless L; Denny JC; Crofford LJ
Arthritis Care Res (Hoboken); 2017 May; 69(5):687-693. PubMed ID: 27390187
[TBL] [Abstract][Full Text] [Related]
8. Assessment of the Accuracy of Using ICD-9 Codes to Identify Uveitis, Herpes Zoster Ophthalmicus, Scleritis, and Episcleritis.
Pimentel MA; Browne EN; Janardhana PM; Borkar DS; Tham VM; Uchida A; Vinoya AC; Acharya NR
JAMA Ophthalmol; 2016 Sep; 134(9):1001-6. PubMed ID: 27387135
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Validation of coding algorithms for the identification of herpes zoster among children.
Rutstein BH; Gmuca S; Gerber JS; Lim T; Argraves M; Ogdie A
Pharmacoepidemiol Drug Saf; 2021 Sep; 30(9):1162-1167. PubMed ID: 33960541
[TBL] [Abstract][Full Text] [Related]
12. Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance.
Wei WQ; Teixeira PL; Mo H; Cronin RM; Warner JL; Denny JC
J Am Med Inform Assoc; 2016 Apr; 23(e1):e20-7. PubMed ID: 26338219
[TBL] [Abstract][Full Text] [Related]
13. Identification of Incident Atrial Fibrillation From Electronic Medical Records.
Chamberlain AM; Roger VL; Noseworthy PA; Chen LY; Weston SA; Jiang R; Alonso A
J Am Heart Assoc; 2022 Apr; 11(7):e023237. PubMed ID: 35348008
[TBL] [Abstract][Full Text] [Related]
14. Development and validation of algorithms to build an electronic health record based cohort of patients with systemic sclerosis.
Tukpah AC; Rose JA; Seger DL; Dellaripa PF; Hunninghake GM; Bates DW
PLoS One; 2023; 18(4):e0283775. PubMed ID: 37053291
[TBL] [Abstract][Full Text] [Related]
15. Postpartum Migraine Headache Coding in Electronic Health Records of a Large Integrated Health Care System: Validation Study.
Shi J; Fassett MJ; Chiu VY; Avila CC; Khadka N; Brown B; Patel P; Mensah N; Xie F; Peltier MR; Getahun D
JMIR Form Res; 2022 Nov; 6(11):e42955. PubMed ID: 36394937
[TBL] [Abstract][Full Text] [Related]
16. A comparison of methods to detect urinary tract infections using electronic data.
Landers T; Apte M; Hyman S; Furuya Y; Glied S; Larson E
Jt Comm J Qual Patient Saf; 2010 Sep; 36(9):411-7. PubMed ID: 20873674
[TBL] [Abstract][Full Text] [Related]
17. Accuracy of ICD-9-CM codes in identifying infections of pneumonia and herpes simplex virus in administrative data.
Drahos J; Vanwormer JJ; Greenlee RT; Landgren O; Koshiol J
Ann Epidemiol; 2013 May; 23(5):291-3. PubMed ID: 23522903
[TBL] [Abstract][Full Text] [Related]
18. Validity of diagnostic codes to identify hospitalizations for infections among patients treated with oral anti-diabetic drugs.
Saine ME; Gizaw M; Carbonari DM; Newcomb CW; Roy JA; Cardillo S; Esposito DB; Bhullar H; Gallagher AM; Strom BL; Lo Re V
Pharmacoepidemiol Drug Saf; 2018 Oct; 27(10):1147-1150. PubMed ID: 29250905
[TBL] [Abstract][Full Text] [Related]
19. Validity of ICD-10-based algorithms to identify patients with influenza in inpatient and outpatient settings.
Benack K; Nyandege A; Nonnenmacher E; Jan S; Setoguchi S; Gerhard T; Strom BL; Horton DB
Pharmacoepidemiol Drug Saf; 2024 Apr; 33(4):e5788. PubMed ID: 38556924
[TBL] [Abstract][Full Text] [Related]
20. Developing electronic health record algorithms that accurately identify patients with juvenile idiopathic arthritis.
Peterson HM; Vela KL; Barnado A; Patrick AE
Semin Arthritis Rheum; 2023 Apr; 59():152167. PubMed ID: 36708593
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]