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Karthik Adapa
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2020 – today
- 2023
- [c14]Karthik Adapa
, Gregg Tracton, Prithima Mosaly, Fei Yu
, Ross McGurk, Carlton Moore, John Dooley, Shiva K. Das, Lukasz Mazur:
Using the TURF Framework to Design an Enhanced Dosimetry Quality Assurance Checklist in an Academic Medical Center. HCI (24) 2023: 239-254 - 2022
- [j1]Joseph K. Nuamah
, Karthik Adapa
, Lukasz M. Mazur
:
State of the evidence on simulation-based electronic health records training: A scoping review. Health Informatics J. 28(3): 146045822211134 (2022) - [c13]Malvika Pillai, Karthik Adapa, Lukasz Mazur:
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. AMIA 2022 - [c12]Karthik Adapa
, Gregg Tracton, Prithima Mosaly, Fei Yu
, Ross McGurk, Carlton Moore, John Dooley, Shiva K. Das, Lukasz Mazur:
Human-Centered Participatory Co-design of a Dosimetry-Quality Assurance Checklist in an Academic Cancer Center. HCI (19) 2022: 3-20 - [c11]Amy Cole
, Amro Khasawneh
, Karthik Adapa
, Lukasz Mazur, Daniel R. Richardson
:
Development of an Electronic Healthcare Tool to Elicit Patient Preferences in Older Adults Diagnosed with Hematologic Malignancies. HCI (30) 2022: 210-228 - [c10]Meagan Foster
, Karthik Adapa
, Amy Cole
, Amro Khasawneh
, Anna Soloway, Jeffrey Francki, Nancy Havill
, Lukasz Mazur:
Designing a Workplace Violence Reporting Tool for Healthcare Workers in Hospital Settings. HCI (26) 2022: 368-387 - [c9]Malvika Pillai
, Karthik Adapa
, Meagan Foster
, Ian Kratzke, Nadia Charguia, Lukasz Mazur:
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. ISMIS 2022: 149-161 - [c8]Karthik Adapa
, Malvika Pillai
, Meagan Foster, Nadia Charguia, Lukasz Mazur:
Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals. MIE 2022: 58-62 - [c7]Elizabeth Kwong, Amy Cole
, Amro Khasawneh, Carl Mhina
, Lukasz Mazur, Karthik Adapa
, Daniel R. Richardson:
Evaluation of Data Visualizations for an Electronic Patient Preferences Tool for Older Adults Diagnosed with Hematologic Malignancies. VAHC 2022: 1-6 - 2021
- [c6]Karthik Adapa, Shiva K. Das, Prithima Reddy, Fei Yu, Carlton Moore, Lukasz Mazur:
Exploring the impact of perceived usability and cognitive workload on objective performance using supervised machine learning classifiers. AMIA 2021 - [c5]Meagan Foster, Karthik Adapa
, Anna Soloway, Jeffrey Francki, Sara Stokes, Lukasz Mazur:
Electronic Reporting of Workplace Violence Incidents: Improving the Usability, and Optimizing Healthcare Workers' Cognitive Workload, and Performance. MedInfo 2021: 400-404 - [c4]Malvika Pillai
, Karthik Adapa
, John W. Shumway, John Dooley, Shiva K. Das, Bhishamjit S. Chera, Lukasz Mazur:
Feature Engineering for Interpretable Machine Learning for Quality Assurance in Radiation Oncology. MedInfo 2021: 460-464 - [c3]Karthik Adapa
, Malvika Pillai
, Shiva K. Das, Prithima Mosaly, Lukasz Mazur:
Predicting Objective Performance Using Perceived Cognitive Workload Data in Healthcare Professionals: A Machine Learning Study. MedInfo 2021: 809-813 - [c2]Amy Cole
, Karthik Adapa
, Daniel R. Richardson, Lukasz M. Mazur:
Co-Design Approaches Involving Older Adults in the Development of Electronic Healthcare Tools: A Systematic Review. MedInfo 2021: 1112-1113
2010 – 2019
- 2019
- [c1]Malvika Pillai, Karthik Adapa:
Augmenting Quality Assurance Measures in Radiation Oncology with Machine Learning. AMIA 2019
Coauthor Index
aka: Lukasz M. Mazur
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