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Items: 1 to 20 of 82

1.

Correlating Lab Test Results in Clinical Notes with Structured Lab Data: A Case Study in HbA1c and Glucose.

Liu S, Wang L, Ihrke D, Chaudhary V, Tao C, Weng C, Liu H.

AMIA Jt Summits Transl Sci Proc. 2017 Jul 26;2017:221-228. eCollection 2017.

2.

Assessing the population representativeness of colorectal cancer treatment clinical trials.

Zhe He, Zhiwei Chen, George TJ, Lipori G, Bian.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:2970-2973. doi: 10.1109/EMBC.2016.7591353.

3.

Clinical Research Informatics for Big Data and Precision Medicine.

Weng C, Kahn MG.

Yearb Med Inform. 2016 Nov 10;(1):211-218.

4.

GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies.

Sen A, Chakrabarti S, Goldstein A, Wang S, Ryan PB, Weng C.

J Biomed Inform. 2016 Oct;63:325-336. doi: 10.1016/j.jbi.2016.09.003. Epub 2016 Sep 4.

5.

Automated learning of domain taxonomies from text using background knowledge.

Hoxha J, Jiang G, Weng C.

J Biomed Inform. 2016 Oct;63:295-306. doi: 10.1016/j.jbi.2016.09.002. Epub 2016 Sep 3.

6.

Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trials.

Sen A, Ryan PB, Goldstein A, Chakrabarti S, Wang S, Koski E, Weng C.

Ann N Y Acad Sci. 2017 Jan;1387(1):34-43. doi: 10.1111/nyas.13195. Epub 2016 Sep 6.

7.

Bacterial clinical infectious diseases ontology (BCIDO) dataset.

Gordon CL, Weng C.

Data Brief. 2016 Jul 16;8:881-4. doi: 10.1016/j.dib.2016.07.018. eCollection 2016 Sep.

8.

A multi-site cognitive task analysis for biomedical query mediation.

Hruby GW, Rasmussen LV, Hanauer D, Patel VL, Cimino JJ, Weng C.

Int J Med Inform. 2016 Sep;93:74-84. doi: 10.1016/j.ijmedinf.2016.06.006. Epub 2016 Jun 16.

9.

A data-driven concept schema for defining clinical research data needs.

Hruby GW, Hoxha J, Ravichandran PC, Mendonça EA, Hanauer DA, Weng C.

Int J Med Inform. 2016 Jul;91:1-9. doi: 10.1016/j.ijmedinf.2016.03.008. Epub 2016 Apr 2.

10.

Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informatics.

Hruby GW, Matsoukas K, Cimino JJ, Weng C.

J Biomed Inform. 2016 Apr;60:376-84. doi: 10.1016/j.jbi.2016.03.004. Epub 2016 Mar 10. Review.

11.

Valx: A System for Extracting and Structuring Numeric Lab Test Comparison Statements from Text.

Hao T, Liu H, Weng C.

Methods Inf Med. 2016 May 17;55(3):266-75. doi: 10.3414/ME15-01-0112. Epub 2016 Mar 4.

12.

Prediction of black box warning by mining patterns of Convergent Focus Shift in clinical trial study populations using linked public data.

Ma H, Weng C.

J Biomed Inform. 2016 Apr;60:132-44. doi: 10.1016/j.jbi.2016.01.015. Epub 2016 Feb 3.

13.

Multivariate analysis of the population representativeness of related clinical studies.

He Z, Ryan P, Hoxha J, Wang S, Carini S, Sim I, Weng C.

J Biomed Inform. 2016 Apr;60:66-76. doi: 10.1016/j.jbi.2016.01.007. Epub 2016 Jan 25.

15.

DREAM: Classification scheme for dialog acts in clinical research query mediation.

Hoxha J, Chandar P, He Z, Cimino J, Hanauer D, Weng C.

J Biomed Inform. 2016 Feb;59:89-101. doi: 10.1016/j.jbi.2015.11.011. Epub 2015 Nov 30.

16.

Optimizing Clinical Research Participant Selection with Informatics.

Weng C.

Trends Pharmacol Sci. 2015 Nov;36(11):706-9. doi: 10.1016/j.tips.2015.08.007.

17.

Predicting New Target Conditions for Drug Retesting Using Temporal Patterns in Clinical Trials: A Proof of Concept.

He Z, Weng C.

AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:445-9. eCollection 2015.

18.

Research Data Explorer: Lessons Learned in Design and Development of Context-based Cohort Definition and Selection.

Wilcox A, Vawdrey D, Weng C, Velez M, Bakken S.

AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:194-8. eCollection 2015.

19.

Use of Self-Service Query Tools Varies by Experience and Research Knowledge.

Hruby GW, Ancker J, Weng C.

Stud Health Technol Inform. 2015;216:1023.

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