T. Greg McKelvey Jr.
T. Greg McKelvey Jr.
Office of Science and Technology Policy
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Title
Cited by
Cited by
Year
Interpretable Machine Learning in Healthcare
GMK Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai
IEEE Intelligent Informatics Bulletin 19 (No. 1), 2018
192*2018
A detailed analysis of level I evidence (randomized controlled trials and meta-analyses) in five plastic surgery journals to date: 1978 to 2009
JE McCarthy, A Chatterjee, TG McKelvey, EMG Jantzen, CL Kerrigan
Plastic and reconstructive surgery 126 (5), 1774, 2010
472010
The design of a medical school social justice curriculum
A Coria, TG McKelvey, P Charlton, M Woodworth, T Lahey
Academic Medicine 88 (10), 1442-1449, 2013
392013
Evaluating use cases for human challenge trials in accelerating SARS-CoV-2 vaccine development
LC Nguyen, CW Bakerlee, TG McKelvey, SM Rose, AJ Norman, N Joseph, ...
Clinical Infectious Diseases 72 (4), 710-715, 2021
192021
Predicting future frequent users of emergency departments in California state
M Pereira, V Singh, CP Hon, TG McKelvey, S Sushmita, M De Cock
Proceedings of the 7th ACM International Conference on Bioinformatics …, 2016
112016
Development and prospective validation of a machine learning-based risk of readmission model in a large military hospital
C Eckert, N Nieves-Robbins, E Spieker, T Louwers, D Hazel, J Marquardt, ...
Applied clinical informatics 10 (02), 316-325, 2019
82019
Generating conflict-free treatments for patients with comorbidity using asp
E Merhej, S Schockaert, TG McKelvey, M De Cock
8th International workshop on Knowledge Representation for Health Care …, 2016
62016
Death vs. data science: predicting end of life
MA Ahmad, C Eckert, G McKelvey, K Zolfagar, A Zahid, A Teredesai
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
52018
Generating conflict-free treatments for patients with comorbidity using answer set programming
E Merhej, S Schockaert, TG McKelvey, M De Cock
Knowledge Representation for Health Care, 111-119, 2016
32016
Knowledge Base Completion for Constructing Problem-Oriented Medical Records
J Mullenbach, J Swartz, TG McKelvey, H Dai, D Sontag
Machine Learning for Healthcare Conference, 198-222, 2020
22020
S45 Predicting likelihood of emergency department admission prior to triage: utilising machine learning within a COPD cohort
C Eckert, M Ahmad, K Zolfaghar, G McKelvey, C Carlin, D Lowe
Thorax 73 (Suppl 4), A28-A28, 2018
12018
12 Predicting Patients at Risk for Leaving Without Being Seen Using Machine Learning
P Casey, K Zolfaghar, C Eckert, L Waters, H Sonntag, T McKelvey, ...
Annals of Emergency Medicine 72 (4), S5-S6, 2018
12018
Automatic Detection of Excess Healthcare Spending and Cost Variation in ACOs
E Liu, MA Ahmad, C Eckert, A Nascimento, M De Cock, K Padthe, ...
SIAM, 2018
12018
Recommending treatments for comorbid patients using word-based and phrase-based alignment methods
E Merhej, S Schockaert, TG McKelvey, M De Cock
29th Benelux Conference on Artificial Intelligence (BNAIC'17), 2017
12017
CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
J Mullenbach, Y Pruksachatkun, S Adler, J Seale, J Swartz, TG McKelvey, ...
arXiv preprint arXiv:2106.02524, 2021
2021
Evaluating use cases for human challenge trials in accelerating COVID-19 vaccine development
LC Nguyen, CW Bakerlee, TG McKelvey, SM Rose, AJ Norman, N Joseph, ...
OSF Preprints, 2020
2020
Intelligent Informatics
MA Ahmad, C Eckert, A Teredesai, G McKelvey, LA Dennis, M Slavkovik, ...
2018
Generating Conflict-Free Treatments for Patients with Comorbidity Using Answer Set Programming
M De Cock
Knowledge Representation for Health Care: HEC 2016 International Joint …, 2017
2017
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