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2020 – today
- 2021
[j8]Bryan D. Steitz
, Kim M. Unertl, Mia A. Levy:
An Analysis of Electronic Health Record Work to Manage Asynchronous Clinical Messages among Breast Cancer Care Teams. Appl. Clin. Inform. 12(4): 877-887 (2021)- 2020
- [j7]Bryan D. Steitz, Kim M. Unertl, Mia A. Levy:
Characterizing communication patterns among members of the clinical care team to deliver breast cancer treatment. J. Am. Medical Informatics Assoc. 27(2): 236-243 (2020) - [j6]Neha Jain, Kathleen F. Mittendorf, Marilyn Holt, Michele L. LeNoue-Newton, Ian Maurer, Clinton Miller, Matthew Stachowiak, Michelle Botyrius, James Cole, Christine Micheel, Mia A. Levy:
The My Cancer Genome clinical trial data model and trial curation workflow. J. Am. Medical Informatics Assoc. 27(7): 1057-1066 (2020) - [c18]Bryan D. Steitz, Kim M. Unertl, Mia A. Levy:
Quantifying the Hidden Electronic Work of Clinical Communication in a Breast Cancer Cohort. AMIA 2020
2010 – 2019
- 2019
- [c17]Bryan D. Steitz, Mia A. Levy:
Evaluating the Scope of Clinical Electronic Messaging to Coordinate Care in a Breast Cancer Cohort. MedInfo 2019: 808-812 - 2018
- [j5]Bryan D. Steitz, Mia A. Levy:
Temporal and Atemporal Provider Network Analysis in a Breast Cancer Cohort from an Academic Medical Center (USA). Informatics 5(3): 34 (2018) - [c16]Dax M. Westerman, Fern FitzHenry, Michael E. Matheny, Michele L. LeNoue-Newton, Claudio A. Mosse, Ian Maurer, Matthew Stachowiak, Justin A. Yeakley, James Cole, Regina M. Thomas, Mia A. Levy:
Integrating Cancer Genomic Data into Decision Support at the VA: Hematologic Oncology as a Use Case. AMIA 2018 - 2017
- [c15]Alex C. Cheng, Mia A. Levy:
Determining Burden of Commuting for Treatment Using Online Mapping Services - A Study of Breast Cancer Patients. AMIA 2017 - [c14]Morgan Harrell, Mia A. Levy, Daniel Fabbri:
Supervised Machine Learning to Predict Follow-Up Among Adjuvant Endocrine Therapy Patients. ICHI 2017: 490-495 - 2016
- [j4]Jeremy L. Warner, Lucy Wang, William Pao, Jeffrey A. Sosman, Ravi V. Atreya, Pam Carney, Mia A. Levy:
CUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment. J. Am. Medical Informatics Assoc. 23(4): 692-700 (2016) - [j3]Samuel G. Finlayson, Mia A. Levy, Sunil Reddy, Daniel L. Rubin:
Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data. J. Biomed. Informatics 60: 104-113 (2016) - [c13]Alex C. Cheng, Mia A. Levy:
Data Driven Approach to Burden of Treatment Measurement: A Study of Patients with Breast Cancer. AMIA 2016 - [c12]Dara Eckerle Mize, Mia A. Levy, Shubhada Jagasia, Colin G. Walsh:
An Analysis of Readmission Events Over Time in Patients with Type 2 Diabetes. AMIA 2016 - [c11]Bryan D. Steitz, Mia A. Levy:
A Social Network Analysis of Cancer Provider Collaboration. AMIA 2016 - [c10]Sheila V. Kusnoor, Taneya Y. Koonce, Mia A. Levy, Christine Lovly, Helen Naylor, Ingrid Anderson, Christine Micheel, Sheau-Chiann Chen, Fei Ye, Nunzia B. Giuse:
My Cancer Genome: Evaluating an Educational Model to Introduce Patients and Caregivers to Precision Medicine Information. CRI 2016 - [c9]Morgan Harrell, Daniel Fabbri, Mia A. Levy:
Evaluating EHR Data Availability for Cohort Selection in Retrospective Studies. ICHI 2016: 380-387 - 2015
- [j2]Hua Xu, Melinda C. Aldrich, Qingxia Chen, Hongfang Liu, Neeraja B. Peterson, Qi Dai, Mia A. Levy, Anushi Shah, Han Xue, Xiaoyang Ruan, Min Jiang, Ying Li, Jamii St Julien, Jeremy L. Warner, Carol Friedman, Dan M. Roden, Joshua C. Denny:
Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality. J. Am. Medical Informatics Assoc. 22(1): 179-191 (2015) - [c8]Ravi V. Atreya, Thomas A. Lasko, Mia A. Levy:
Assessing Variability in Breast Cancer Treatment Paths Using Frequent Sequence Mining. AMIA 2015 - 2014
- [c7]Ravi V. Atreya, Mia A. Levy:
Reducing Complexity of Breast Cancer Treatment Regimen Representation in Tumor Registries. AMIA 2014 - 2013
- [j1]Subramani Mani, Yukun Chen, Xia Li, Lori R. Arlinghaus, A. Bapsi Chakravarthy, Vandana G. Abramson, Sandeep R. Bhave, Mia A. Levy, Hua Xu, Thomas E. Yankeelov:
Research and applications: Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy. J. Am. Medical Informatics Assoc. 20(4): 688-695 (2013) - [c6]Ravi V. Atreya, Thomas A. Lasko, Mia A. Levy:
Role of ICD Granularity in Phenotyping Hematologic Malignancies for Tumor Registries. AMIA 2013 - 2012
- [c5]Hua Xu, Melinda Aldrich, Qingxia Chen, Neeraja B. Peterson, Qi Dai, Mia A. Levy, Anushi Shah, Han Xue, Ying Li, Carol Friedman, Hongfang Liu, Joshua C. Denny:
Electronic health record data suggests metformin improves cancer survival: A new model for drug repurposing studies. AMIA 2012 - [c4]Janos L. Mathe, Janos Sztipanovits, Mia A. Levy, Ethan K. Jackson, Wolfram Schulte:
Cancer treatment planning: formal methods to the rescue. SEHC@ICSE 2012: 19-25
2000 – 2009
- 2009
- [c3]Mia A. Levy, Martin J. O'Connor, Daniel L. Rubin:
Semantic Reasoning with Image Annotations for Tumor Assessment. AMIA 2009 - 2008
- [c2]Mia A. Levy, Daniel L. Rubin:
Tool Support to Enable Evaluation of the Clinical Response to Treatment. AMIA 2008 - 2007
- [c1]Mia A. Levy, Ankit Garg, Aaron Tam, Yael Garten, Daniel L. Rubin:
LesionViewer: A Tool for Tracking Cancer Lesions Over Time. AMIA 2007
Coauthor Index
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