Accepting PhD Students

20042023
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Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.

Electronic Health Records Medicine & Life Sciences
Dietary Supplements Medicine & Life Sciences
Natural Language Processing Medicine & Life Sciences
Antimony Chemical Compounds
Drug Interactions Medicine & Life Sciences
Language Medicine & Life Sciences
hollow Physics & Astronomy
Sulfides Chemical Compounds

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Projects 2015 2023

Research Output 2004 2018

  • 35 Article
  • 10 Conference contribution
  • 2 Review article

Detecting Signals of Associations between Dietary Supplement Use and Mental Disorders from Twitter

Wang, Y., Zhao, Y., Bian, J. & Zhang, R., Jul 16 2018, Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018. Institute of Electrical and Electronics Engineers Inc., p. 53-54 2 p. 8411682

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dietary Supplements
Mental Disorders
Natural Language Processing
Anxiety Disorders
Mood Disorders
1 Citations

Discovering and identifying New York heart association classification from electronic health records

Zhang, R., Ma, S., Shanahan, L., Munroe, J., Horn, S. & Speedie, S., Jul 23 2018, In : BMC Medical Informatics and Decision Making. 18, 48.

Research output: Contribution to journalArticle

Electronic Health Records
Cardiac Resynchronization Therapy
Heart Failure
Natural Language Processing
Documentation
2 Citations

Electronic Health Record Phenotypes for Precision Medicine: Perspectives and Caveats From Treatment of Breast Cancer at a Single Institution

Breitenstein, M. K., Liu, H., Maxwell, K. N., Pathak, J. & Zhang, R., Jan 1 2018, In : Clinical and Translational Science. 11, 1, p. 85-92 8 p.

Research output: Contribution to journalArticle

Precision Medicine
Electronic Health Records
Medicine
Health
Breast Neoplasms

Prescription opioids are associated with higher mortality in patients diagnosed with sepsis: A retrospective cohort study using electronic health records

Zhang, R., Meng, J., Lian, Q., Chen, X., Bauman, B., Chu, H., Segura, B. J. & Roy, S., Jan 1 2018, In : PloS one. 13, 1, e0190362.

Research output: Contribution to journalArticle

sepsis (infection)
Electronic Health Records
narcotics
cohort studies
Opioid Analgesics
1 Citations
Natural Language Processing
Dietary Supplements
Pharmacovigilance
Safety
Electronic Health Records

Datasets

Annotated Semantic Predications from SemMedDB

Rizvi, R. F. (Creator), Vasilakes, J. A. (Creator), Zhang, R. (Creator), Data Repository for the University of Minnesota, 2018

Dataset