366 related articles for article (PubMed ID: 24717952)
1. 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]
2. Development and validation of an administrative data algorithm to identify adults who have endoscopic sinus surgery for chronic rhinosinusitis.
Macdonald KI; Kilty SJ; van Walraven C
J Otolaryngol Head Neck Surg; 2017 May; 46(1):38. PubMed ID: 28482866
[TBL] [Abstract][Full Text] [Related]
3. Chronic rhinosinusitis identification in administrative databases and health surveys: A systematic review.
Macdonald KI; Kilty SJ; van Walraven C
Laryngoscope; 2016 Jun; 126(6):1303-10. PubMed ID: 26649650
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
7. Outcomes of endoscopy and computed tomography in patients with chronic rhinosinusitis.
Amine M; Lininger L; Fargo KN; Welch KC
Int Forum Allergy Rhinol; 2013 Jan; 3(1):73-9. PubMed ID: 22887958
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. A validated case definition for chronic rhinosinusitis in administrative data: a Canadian perspective.
Rudmik L; Xu Y; Kukec E; Liu M; Dean S; Quan H
Int Forum Allergy Rhinol; 2016 Nov; 6(11):1167-1172. PubMed ID: 27228224
[TBL] [Abstract][Full Text] [Related]
11. Evaluating the diagnosis of chronic rhinosinusitis based on clinical guidelines and endoscopy.
Bhattacharyya N; Lee LN
Otolaryngol Head Neck Surg; 2010 Jul; 143(1):147-51. PubMed ID: 20620634
[TBL] [Abstract][Full Text] [Related]
12. Effect of symptom-based risk stratification on the costs of managing patients with chronic rhinosinusitis symptoms.
Tan BK; Lu G; Kwasny MJ; Hsueh WD; Shintani-Smith S; Conley DB; Chandra RK; Kern RC; Leung R
Int Forum Allergy Rhinol; 2013 Nov; 3(11):933-40. PubMed ID: 24009151
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Chiari malformation Type I surgery in pediatric patients. Part 1: validation of an ICD-9-CM code search algorithm.
Ladner TR; Greenberg JK; Guerrero N; Olsen MA; Shannon CN; Yarbrough CK; Piccirillo JF; Anderson RC; Feldstein NA; Wellons JC; Smyth MD; Park TS; Limbrick DD
J Neurosurg Pediatr; 2016 May; 17(5):519-24. PubMed ID: 26799412
[TBL] [Abstract][Full Text] [Related]
16. Clinical and symptom criteria for the accurate diagnosis of chronic rhinosinusitis.
Bhattacharyya N
Laryngoscope; 2006 Jul; 116(7 Pt 2 Suppl 110):1-22. PubMed ID: 16826087
[TBL] [Abstract][Full Text] [Related]
17. Validation of diagnosis codes to identify side of colon in an electronic health record registry.
Luhn P; Kuk D; Carrigan G; Nussbaum N; Sorg R; Rohrer R; Tucker MG; Arnieri B; Taylor MD; Meropol NJ
BMC Med Res Methodol; 2019 Aug; 19(1):177. PubMed ID: 31426736
[TBL] [Abstract][Full Text] [Related]
18. Positive Predictive Value of
Ivey LC; Rodriguez FH; Shi H; Chong C; Chen J; Raskind-Hood CL; Downing KF; Farr SL; Book WM
J Am Heart Assoc; 2023 Aug; 12(16):e030821. PubMed ID: 37548168
[TBL] [Abstract][Full Text] [Related]
19. Molecular and cellular staging for the severity of chronic rhinosinusitis.
Kountakis SE; Arango P; Bradley D; Wade ZK; Borish L
Laryngoscope; 2004 Nov; 114(11):1895-905. PubMed ID: 15510011
[TBL] [Abstract][Full Text] [Related]
20. Histopathological and clinical analysis of chronic rhinosinusitis by subtype.
Czerny MS; Namin A; Gratton MA; Antisdel JL
Int Forum Allergy Rhinol; 2014 Jun; 4(6):463-9. PubMed ID: 24574266
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
