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Benjamin M. Knisely
Benjamin M. Knisely
AI/ML Researcher, U.S. Telemedicine and Advanced Technology Research Center (TATRC)
Verified email at umd.edu
Title
Cited by
Cited by
Year
An analysis of FDA adverse event reporting data for trends in medical device use error
BM Knisely, C Levine, KC Kharod, M Vaughn-Cooke
Proceedings of the International Symposium on Human Factors and Ergonomics …, 2020
192020
A cognitive decomposition to empirically study human performance in control room environments
BM Knisely, JS Joyner, AM Rutkowski, M Wong, S Barksdale, H Hotham, ...
International Journal of Human-Computer Studies 141, 102438, 2020
162020
Cognitive task analysis and workload classification
BM Knisely, JS Joyner, M Vaughn-Cooke
MethodsX 8, 101235, 2021
132021
Virtual modeling of user populations and formative design parameters
BM Knisely, M Vaughn-Cooke
Systems 8 (4), 35, 2020
82020
Evaluating medic performance in combat casualty care simulation and training: a scoping review of prospective research
BM Knisely, JC Gaudaen, AV Smith, JM Perta, JC Pamplin, MT Quinn, ...
Military Medicine 188 (7-8), e1664-e1672, 2023
42023
Quantifying human performance for heterogeneous user populations using a structured expert elicitation
BM Knisely, C Levine, M Vaughn-Cooke, LA Wagner, JC Fink
Safety science 143, 105435, 2021
42021
A structured method to achieve cognitive depth for medical device use error topic modeling
CS Levine, B Knisely, D Johnson, M Vaughn-Cooke
Human Factors in Healthcare 2, 100016, 2022
32022
Device personalization for heterogeneous populations: leveraging physician expertise and national population data to identify medical device patient user groups
BM Knisely, M Vaughn-Cooke, LA Wagner, JC Fink
User Modeling and User-Adapted Interaction 31 (5), 979-1025, 2021
32021
A Comprehensive Survey of Preference for Personal Health Record Features in Patients with Diabetes
BM Knisely, M Vaughn-Cooke
Proceedings of the International Symposium on Human Factors and Ergonomics …, 2020
32020
Research proposal content extraction using natural language processing and semi-supervised clustering: a demonstration and comparative analysis
BM Knisely, HH Pavliscsak
Scientometrics 128 (5), 3197-3224, 2023
22023
Accessibility Versus Feasibility: Optimizing Function Allocation for Accommodation of Heterogeneous Populations
BM Knisely, M Vaughn-Cooke
Journal of Mechanical Design 144 (3), 031405, 2022
22022
Utilizing Deep Learning for Detecting Adverse Drug Events in Structured and Unstructured Regulatory Drug Data Sets
BM Knisely, Q Hatim, M Vaughn-Cooke
Pharmaceutical Medicine 36 (5), 307-317, 2022
12022
Clustering Research Proposal Submissions to Understand the Unmet Needs of Military Clinicians
BM Knisely, HH Pavliscsak
Military Medicine 189 (1-2), e291-e297, 2024
2024
Developing a comparative effective methodology for technology usability during a simulated casualty event
PM Schmidt, H Ortman, JC Gaudaen, L Markins, C Manemeit, B Knisely, ...
Military medicine 188 (Supplement_6), 642-650, 2023
2023
Integrating Human Performance Models into Early Design Stages to Support Accessibility
BM Knisely
University of Maryland, College Park, 2021
2021
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