182 related articles for article (PubMed ID: 27392227)
1. Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical records.
Kop R; Hoogendoorn M; Teije AT; Büchner FL; Slottje P; Moons LM; Numans ME
Comput Biol Med; 2016 Sep; 76():30-8. PubMed ID: 27392227
[TBL] [Abstract][Full Text] [Related]
2. Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer.
Hoogendoorn M; Szolovits P; Moons LMG; Numans ME
Artif Intell Med; 2016 May; 69():53-61. PubMed ID: 27085847
[TBL] [Abstract][Full Text] [Related]
3. Automated data extraction and ensemble methods for predictive modeling of breast cancer outcomes after radiation therapy.
Lindsay WD; Ahern CA; Tobias JS; Berlind CG; Chinniah C; Gabriel PE; Gee JC; Simone CB
Med Phys; 2019 Feb; 46(2):1054-1063. PubMed ID: 30499597
[TBL] [Abstract][Full Text] [Related]
4. An Interpretable Data-Driven Medical Knowledge Discovery Pipeline Based on Artificial Intelligence.
Wang S; Du X; Liu G; Xing H; Jiao Z; Yan J; Liu Y; Lv H; Xia Y
IEEE J Biomed Health Inform; 2023 Oct; 27(10):5099-5109. PubMed ID: 37498763
[TBL] [Abstract][Full Text] [Related]
5. Healthcare pathway discovery and probabilistic machine learning.
Kempa-Liehr AW; Lin CY; Britten R; Armstrong D; Wallace J; Mordaunt D; O'Sullivan M
Int J Med Inform; 2020 May; 137():104087. PubMed ID: 32126509
[TBL] [Abstract][Full Text] [Related]
6. Machine Learning for the Prediction of New-Onset Diabetes Mellitus during 5-Year Follow-up in Non-Diabetic Patients with Cardiovascular Risks.
Choi BG; Rha SW; Kim SW; Kang JH; Park JY; Noh YK
Yonsei Med J; 2019 Feb; 60(2):191-199. PubMed ID: 30666841
[TBL] [Abstract][Full Text] [Related]
7. Efficient Mining Template of Predictive Temporal Clinical Event Patterns From Patient Electronic Medical Records.
Li J; Tan X; Xu X; Wang F
IEEE J Biomed Health Inform; 2019 Sep; 23(5):2138-2147. PubMed ID: 30346297
[TBL] [Abstract][Full Text] [Related]
8. Early Prediction of Sepsis in EMR Records Using Traditional ML Techniques and Deep Learning LSTM Networks.
Saqib M; Sha Y; Wang MD
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():4038-4041. PubMed ID: 30441243
[TBL] [Abstract][Full Text] [Related]
9. Automatic infection detection based on electronic medical records.
Tou H; Yao L; Wei Z; Zhuang X; Zhang B
BMC Bioinformatics; 2018 Apr; 19(Suppl 5):117. PubMed ID: 29671399
[TBL] [Abstract][Full Text] [Related]
10. Employing heat maps to mine associations in structured routine care data.
Toddenroth D; Ganslandt T; Castellanos I; Prokosch HU; Bürkle T
Artif Intell Med; 2014 Feb; 60(2):79-88. PubMed ID: 24389331
[TBL] [Abstract][Full Text] [Related]
11. Data-Driven Information Extraction from Chinese Electronic Medical Records.
Xu D; Zhang M; Zhao T; Ge C; Gao W; Wei J; Zhu KQ
PLoS One; 2015; 10(8):e0136270. PubMed ID: 26295801
[TBL] [Abstract][Full Text] [Related]
12. Extracting and integrating data from entire electronic health records for detecting colorectal cancer cases.
Xu H; Fu Z; Shah A; Chen Y; Peterson NB; Chen Q; Mani S; Levy MA; Dai Q; Denny JC
AMIA Annu Symp Proc; 2011; 2011():1564-72. PubMed ID: 22195222
[TBL] [Abstract][Full Text] [Related]
13. Alerts in electronic medical records to promote a colorectal cancer screening programme: a cluster randomised controlled trial in primary care.
Guiriguet C; Muñoz-Ortiz L; Burón A; Rivero I; Grau J; Vela-Vallespín C; Vilarrubí M; Torres M; Hernández C; Méndez-Boo L; Toràn P; Caballeria L; Macià F; Castells A
Br J Gen Pract; 2016 Jul; 66(648):e483-90. PubMed ID: 27266861
[TBL] [Abstract][Full Text] [Related]
14. Modeling Healthcare Quality via Compact Representations of Electronic Health Records.
Stojanovic J; Gligorijevic D; Radosavljevic V; Djuric N; Grbovic M; Obradovic Z
IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(3):545-554. PubMed ID: 27429443
[TBL] [Abstract][Full Text] [Related]
15. Recognizing Questions and Answers in EMR Templates Using Natural Language Processing.
Divita G; Shen S; Carter ME; Redd A; Forbush T; Palmer M; Samore MH; Gundlapalli AV
Stud Health Technol Inform; 2014; 202():149-52. PubMed ID: 25000038
[TBL] [Abstract][Full Text] [Related]
16. Text Mining in Electronic Medical Records Enables Quick and Efficient Identification of Pregnancy Cases Occurring After Breast Cancer.
Labrosse J; Lam T; Sebbag C; Benque M; Abdennebi I; Merckelbagh H; Osdoit M; Priour M; Guerin J; Balezeau T; Grandal B; Coussy F; Bobrie A; Ferrer L; Laas E; Feron JG; Reyal F; Hamy AS
JCO Clin Cancer Inform; 2019 Oct; 3():1-12. PubMed ID: 31626565
[TBL] [Abstract][Full Text] [Related]
17. A machine learning-based approach to prognostic analysis of thoracic transplantations.
Delen D; Oztekin A; Kong ZJ
Artif Intell Med; 2010 May; 49(1):33-42. PubMed ID: 20153956
[TBL] [Abstract][Full Text] [Related]
18. An eClinical trial system for cancer that integrates with clinical pathways and electronic medical records.
Yamamoto K; Yamanaka K; Hatano E; Sumi E; Ishii T; Taura K; Iguchi K; Teramukai S; Yokode M; Uemoto S; Fukushima M
Clin Trials; 2012 Aug; 9(4):408-17. PubMed ID: 22605791
[TBL] [Abstract][Full Text] [Related]
19. Big Data and machine learning in radiation oncology: State of the art and future prospects.
Bibault JE; Giraud P; Burgun A
Cancer Lett; 2016 Nov; 382(1):110-117. PubMed ID: 27241666
[TBL] [Abstract][Full Text] [Related]
20. University of California, Irvine-Pathology Extraction Pipeline: the pathology extraction pipeline for information extraction from pathology reports.
Ashish N; Dahm L; Boicey C
Health Informatics J; 2014 Dec; 20(4):288-305. PubMed ID: 25155030
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
