Mia A. Levy

Publication Activity (10 Years)

Years Active: 2007-2021
Publications (10 Years): 16

Top Topics

Machine Learning

Electronic Health Records

Network Analysis

Top Venues

J. Am. Medical Informatics Assoc.

Publications

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) (2021)
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) (2020)
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) (2020)
Bryan D. Steitz, Kim M. Unertl, Mia A. Levy
Quantifying the Hidden Electronic Work of Clinical Communication in a Breast Cancer Cohort. AMIA (2020)
Bryan D. Steitz, Mia A. Levy
Evaluating the Scope of Clinical Electronic Messaging to Coordinate Care in a Breast Cancer Cohort. MedInfo (2019)
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) (2018)
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)
Alex C. Cheng, Mia A. Levy
Determining Burden of Commuting for Treatment Using Online Mapping Services - A Study of Breast Cancer Patients. AMIA (2017)
Morgan Harrell, Mia A. Levy, Daniel Fabbri
Supervised Machine Learning to Predict Follow-Up Among Adjuvant Endocrine Therapy Patients. ICHI (2017)
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 (2016)
Bryan D. Steitz, Mia A. Levy
A Social Network Analysis of Cancer Provider Collaboration. AMIA (2016)
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)
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) (2016)
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)
Morgan Harrell, Daniel Fabbri, Mia A. Levy
Evaluating EHR Data Availability for Cohort Selection in Retrospective Studies. ICHI (2016)
Alex C. Cheng, Mia A. Levy
Data Driven Approach to Burden of Treatment Measurement: A Study of Patients with Breast Cancer. AMIA (2016)
Ravi V. Atreya, Thomas A. Lasko, Mia A. Levy
Assessing Variability in Breast Cancer Treatment Paths Using Frequent Sequence Mining. AMIA (2015)
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) (2015)
Ravi V. Atreya, Mia A. Levy
Reducing Complexity of Breast Cancer Treatment Regimen Representation in Tumor Registries. AMIA (2014)
Ravi V. Atreya, Thomas A. Lasko, Mia A. Levy
Role of ICD Granularity in Phenotyping Hematologic Malignancies for Tumor Registries. AMIA (2013)
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) (2013)
Janos L. Mathe, Janos Sztipanovits, Mia A. Levy, Ethan K. Jackson, Wolfram Schulte
Cancer treatment planning: formal methods to the rescue. SEHC@ICSE (2012)
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)
Mia A. Levy, Martin J. O'Connor, Daniel L. Rubin
Semantic Reasoning with Image Annotations for Tumor Assessment. AMIA (2009)
Mia A. Levy, Daniel L. Rubin
Tool Support to Enable Evaluation of the Clinical Response to Treatment. AMIA (2008)
Mia A. Levy, Ankit Garg, Aaron Tam, Yael Garten, Daniel L. Rubin
LesionViewer: A Tool for Tracking Cancer Lesions Over Time. AMIA (2007)