373 related articles for article (PubMed ID: 25123728)
41. Big Data and Analytics in Healthcare.
Tan SS; Gao G; Koch S
Methods Inf Med; 2015; 54(6):546-7. PubMed ID: 26577624
[TBL] [Abstract][Full Text] [Related]
42. Big data and the electronic health record.
Peters SG; Buntrock JD
J Ambul Care Manage; 2014; 37(3):206-10. PubMed ID: 24887521
[TBL] [Abstract][Full Text] [Related]
43. Grappling with the Future Use of Big Data for Translational Medicine and Clinical Care.
Murphy S; Castro V; Mandl K
Yearb Med Inform; 2017 Aug; 26(1):96-102. PubMed ID: 29063545
[No Abstract] [Full Text] [Related]
44. Archetype-based data warehouse environment to enable the reuse of electronic health record data.
Marco-Ruiz L; Moner D; Maldonado JA; Kolstrup N; Bellika JG
Int J Med Inform; 2015 Sep; 84(9):702-14. PubMed ID: 26094821
[TBL] [Abstract][Full Text] [Related]
45. Patient Portals Facilitating Engagement With Inpatient Electronic Medical Records: A Systematic Review.
Dendere R; Slade C; Burton-Jones A; Sullivan C; Staib A; Janda M
J Med Internet Res; 2019 Apr; 21(4):e12779. PubMed ID: 30973347
[TBL] [Abstract][Full Text] [Related]
46. Comparison of user groups' perspectives of barriers and facilitators to implementing electronic health records: a systematic review.
McGinn CA; Grenier S; Duplantie J; Shaw N; Sicotte C; Mathieu L; Leduc Y; Légaré F; Gagnon MP
BMC Med; 2011 Apr; 9():46. PubMed ID: 21524315
[TBL] [Abstract][Full Text] [Related]
47. Ontologies, Knowledge Representation, and Machine Learning for Translational Research: Recent Contributions.
Robinson PN; Haendel MA
Yearb Med Inform; 2020 Aug; 29(1):159-162. PubMed ID: 32823310
[TBL] [Abstract][Full Text] [Related]
48. An Experience of Electronic Health Records Implementation in a Mexican Region.
Uc BM; Castillo-Sánchez G; Marques G; Arambarri J; de la Torre-Díez I
J Med Syst; 2020 Apr; 44(6):106. PubMed ID: 32323000
[TBL] [Abstract][Full Text] [Related]
49. Perceptions of healthcare professionals about the adoption and use of EHR in Gulf Cooperation Council countries: a systematic review.
Alanazi B; Butler-Henderson K; Alanazi M
BMJ Health Care Inform; 2020 Jan; 27(1):. PubMed ID: 31924667
[TBL] [Abstract][Full Text] [Related]
50. Big Data in Science and Healthcare: A Review of Recent Literature and Perspectives. Contribution of the IMIA Social Media Working Group.
Hansen MM; Miron-Shatz T; Lau AY; Paton C
Yearb Med Inform; 2014 Aug; 9(1):21-6. PubMed ID: 25123717
[TBL] [Abstract][Full Text] [Related]
51. Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studies.
Hernandez-Boussard T; Monda KL; Crespo BC; Riskin D
J Am Med Inform Assoc; 2019 Nov; 26(11):1189-1194. PubMed ID: 31414700
[TBL] [Abstract][Full Text] [Related]
52. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
[TBL] [Abstract][Full Text] [Related]
53. Harnessing the power of electronic health records and open natural language data mining to capture meaningful patient experience during routine clinical care.
Larrow DR; Kadosh OK; Fracchia S; Radano M; Hartnick CJ
Int J Pediatr Otorhinolaryngol; 2023 Oct; 173():111698. PubMed ID: 37597315
[TBL] [Abstract][Full Text] [Related]
54. The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process.
Bousquet C; Dahamna B; Guillemin-Lanne S; Darmoni SJ; Faviez C; Huot C; Katsahian S; Leroux V; Pereira S; Richard C; Schück S; Souvignet J; Lillo-Le Louët A; Texier N
JMIR Res Protoc; 2017 Sep; 6(9):e179. PubMed ID: 28935617
[TBL] [Abstract][Full Text] [Related]
55. Security Techniques for the Electronic Health Records.
Kruse CS; Smith B; Vanderlinden H; Nealand A
J Med Syst; 2017 Aug; 41(8):127. PubMed ID: 28733949
[TBL] [Abstract][Full Text] [Related]
56. A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data.
Dreisbach C; Koleck TA; Bourne PE; Bakken S
Int J Med Inform; 2019 May; 125():37-46. PubMed ID: 30914179
[TBL] [Abstract][Full Text] [Related]
57. -Omic and Electronic Health Record Big Data Analytics for Precision Medicine.
Wu PY; Cheng CW; Kaddi CD; Venugopalan J; Hoffman R; Wang MD
IEEE Trans Biomed Eng; 2017 Feb; 64(2):263-273. PubMed ID: 27740470
[TBL] [Abstract][Full Text] [Related]
58. Detecting the presence of an indwelling urinary catheter and urinary symptoms in hospitalized patients using natural language processing.
Gundlapalli AV; Divita G; Redd A; Carter ME; Ko D; Rubin M; Samore M; Strymish J; Krein S; Gupta K; Sales A; Trautner BW
J Biomed Inform; 2017 Jul; 71S():S39-S45. PubMed ID: 27404849
[TBL] [Abstract][Full Text] [Related]
59. A health analytics semantic ETL service for obesity surveillance.
Poulymenopoulou M; Papakonstantinou D; Malamateniou F; Vassilacopoulos G
Stud Health Technol Inform; 2015; 210():840-4. PubMed ID: 25991273
[TBL] [Abstract][Full Text] [Related]
60. Preprocessing structured clinical data for predictive modeling and decision support. A roadmap to tackle the challenges.
Ferrão JC; Oliveira MD; Janela F; Martins HM
Appl Clin Inform; 2016 Dec; 7(4):1135-1153. PubMed ID: 27924347
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]