Mia A. Levy

According to our database, Mia A. Levy authored at least 26 papers between 2007 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

An Analysis of Electronic Health Record Work to Manage Asynchronous Clinical Messages among Breast Cancer Care Teams.

Bryan D. Steitz, Kim M. Unertl, Mia A. Levy

Appl. Clin. Inform., 2021

2020

Characterizing communication patterns among members of the clinical care team to deliver breast cancer treatment.

Bryan D. Steitz, Kim M. Unertl, Mia A. Levy

J. Am. Medical Informatics Assoc., 2020

The My Cancer Genome clinical trial data model and trial curation workflow.

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

J. Am. Medical Informatics Assoc., 2020

Quantifying the Hidden Electronic Work of Clinical Communication in a Breast Cancer Cohort.

Bryan D. Steitz, Kim M. Unertl, Mia A. Levy

Proceedings of the AMIA 2020, 2020

2019

Evaluating the Scope of Clinical Electronic Messaging to Coordinate Care in a Breast Cancer Cohort.

Bryan D. Steitz, Mia A. Levy

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018

Temporal and Atemporal Provider Network Analysis in a Breast Cancer Cohort from an Academic Medical Center (USA).

Bryan D. Steitz, Mia A. Levy

Informatics, 2018

Integrating Cancer Genomic Data into Decision Support at the VA: Hematologic Oncology as a Use Case.

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

Proceedings of the AMIA 2018, 2018

2017

Supervised Machine Learning to Predict Follow-Up Among Adjuvant Endocrine Therapy Patients.

Morgan Harrell, Mia A. Levy, Daniel Fabbri

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Determining Burden of Commuting for Treatment Using Online Mapping Services - A Study of Breast Cancer Patients.

Alex C. Cheng, Mia A. Levy

Proceedings of the AMIA 2017, 2017

2016

Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data.

Samuel G. Finlayson, Mia A. Levy, Sunil Reddy, Daniel L. Rubin

J. Biomed. Informatics, 2016

CUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment.

Jeremy L. Warner, Lucy Wang, William Pao, Jeffrey A. Sosman, Ravi V. Atreya, Pam Carney, Mia A. Levy

J. Am. Medical Informatics Assoc., 2016

Evaluating EHR Data Availability for Cohort Selection in Retrospective Studies.

Morgan Harrell, Daniel Fabbri, Mia A. Levy

Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

My Cancer Genome: Evaluating an Educational Model to Introduce Patients and Caregivers to Precision Medicine Information.

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

Proceedings of the Summit on Clinical Research Informatics, 2016

A Social Network Analysis of Cancer Provider Collaboration.

Bryan D. Steitz, Mia A. Levy

Proceedings of the AMIA 2016, 2016

An Analysis of Readmission Events Over Time in Patients with Type 2 Diabetes.

Dara Eckerle Mize, Mia A. Levy, Shubhada Jagasia, Colin G. Walsh

Proceedings of the AMIA 2016, 2016

Data Driven Approach to Burden of Treatment Measurement: A Study of Patients with Breast Cancer.

Alex C. Cheng, Mia A. Levy

Proceedings of the AMIA 2016, 2016

2015

Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality.

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

J. Am. Medical Informatics Assoc., 2015

Assessing Variability in Breast Cancer Treatment Paths Using Frequent Sequence Mining.

Ravi V. Atreya, Thomas A. Lasko, Mia A. Levy

Proceedings of the AMIA 2015, 2015

2014

Reducing Complexity of Breast Cancer Treatment Regimen Representation in Tumor Registries.

Ravi V. Atreya, Mia A. Levy

Proceedings of the AMIA 2014, 2014

2013

Research and applications: Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy.

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

J. Am. Medical Informatics Assoc., 2013

Role of ICD Granularity in Phenotyping Hematologic Malignancies for Tumor Registries.

Ravi V. Atreya, Thomas A. Lasko, Mia A. Levy

Proceedings of the AMIA 2013, 2013

2012

Cancer treatment planning: formal methods to the rescue.

Janos L. Mathe, Janos Sztipanovits, Mia A. Levy, Ethan K. Jackson, Wolfram Schulte

Proceedings of the 4th International Workshop on Software Engineering in Health Care, 2012

Electronic health record data suggests metformin improves cancer survival: A new model for drug repurposing studies.

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

Proceedings of the AMIA 2012, 2012

2009

Semantic Reasoning with Image Annotations for Tumor Assessment.

Mia A. Levy, Martin J. O'Connor, Daniel L. Rubin

Proceedings of the AMIA 2009, 2009

2008

Tool Support to Enable Evaluation of the Clinical Response to Treatment.

Mia A. Levy, Daniel L. Rubin

Proceedings of the AMIA 2008, 2008

2007

LesionViewer: A Tool for Tracking Cancer Lesions Over Time.

Mia A. Levy, Ankit Garg, Aaron Tam, Yael Garten, Daniel L. Rubin

Proceedings of the AMIA 2007, 2007