Eneida A. Mendonca, Ph.D.
Affiliations: | 2002 | Columbia University, New York, NY |
Area:
General, Medicine and Surgery, Information ScienceGoogle:
"Eneida Mendonca"Cross-listing: Biomedical Informatics
Parents
Sign in to add mentorJames T. Cimino | grad student | 2002 | Columbia | |
(Using automated extraction from the medical record to access biomedical literature.) |
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Publications
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Shoenbill K, Song Y, Craven M, et al. (2020) Identifying patterns and predictors of lifestyle modification in electronic health record documentation using statistical and machine learning methods. Preventive Medicine. 106061 |
Shoenbill K, Song Y, Gress L, et al. (2019) Natural language processing of lifestyle modification documentation. Health Informatics Journal. 1460458218824742 |
Morken CM, Tevaarwerk AJ, Swiecichowski AK, et al. (2019) Survivor and Clinician Assessment of Survivorship Care Plans for Hematopoietic Stem Cell Transplant Patients: An Engineering, Primary Care, and Oncology Collaborative for Survivorship Health. Biology of Blood and Marrow Transplantation : Journal of the American Society For Blood and Marrow Transplantation |
Morken CM, Tevaarwerk AJ, Swiecichowski M, et al. (2019) Evaluating Survivorship Care Plans for Use By Hematopoietic Stem Cell Transplant Survivors and Non-Transplant Clinicians: An Engineering, Primary Care, and Oncology Collaborative for Survivorship Health Biology of Blood and Marrow Transplantation. 25: S376 |
Swiecichowski M, Tevaarwerk A, Juckett M, et al. (2018) Leveraging the electronic health record (EHR) to support survivorship care planning for bone marrow transplant (BMT) survivors. Journal of Clinical Oncology. 36: 57-57 |
Hruby GW, Hoxha J, Ravichandran PC, et al. (2016) A data-driven concept schema for defining clinical research data needs. International Journal of Medical Informatics. 91: 1-9 |
Ray W, Finamore J, Rastegar-Mojarad M, et al. (2016) MD-CTS: An integrated terminology reference of clinical and translational medicine. Computational and Structural Biotechnology Journal. 14: 131-4 |
Bakken S, Jia H, Chen ES, et al. (2014) The Effect of a Mobile Health Decision Support System on Diagnosis and Management of Obesity, Tobacco Use, and Depression in Adults and Children. The Journal For Nurse Practitioners : Jnp. 10: 774-780 |
Peissig PL, Santos Costa V, Caldwell MD, et al. (2014) Relational machine learning for electronic health record-driven phenotyping. Journal of Biomedical Informatics. 52: 260-70 |
Shoenbill K, Fost N, Tachinardi U, et al. (2014) Genetic data and electronic health records: a discussion of ethical, logistical and technological considerations. Journal of the American Medical Informatics Association : Jamia. 21: 171-80 |