Interpretable Machine Learning in Healthcare GMK Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai IEEE Intelligent Informatics Bulletin 19 (No. 1), 2018 | 700* | 2018 |
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 | 66 | 2013 |
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 | 56 | 2010 |
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 | 29 | 2021 |
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 | 16 | 2019 |
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 | 15 | 2016 |
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 | 13 | 2021 |
Death vs. data science: predicting end of life M Ahmad, C Eckert, G McKelvey, K Zolfagar, A Zahid, A Teredesai Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 13 | 2018 |
Interpretable machine learning in healthcare T McKelvey, M Ahmad, A Teredesai, C Eckert Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018 | 9 | 2018 |
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 | 7 | 2016 |
Analysis of the first genetic engineering attribution challenge OM Crook, KL Warmbrod, G Lipstein, C Chung, CW Bakerlee, ... Nature communications 13 (1), 7374, 2022 | 6 | 2022 |
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 | 6 | 2020 |
Generating conflict-free treatments for patients with comorbidity using answer set programming E Merhej, S Schockaert, TG McKelvey, M De Cock International Workshop on Process-oriented Information Systems in Healthcare …, 2016 | 4 | 2016 |
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 | 2 | 2018 |
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 | 2 | 2018 |
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 | 2 | 2018 |
Recommending treatments for comorbid patients using word-based and phrase-based alignment methods E Merhej, S Schockaert, TG McKelvey, MD Cock | 1 | 2017 |
Intelligent Informatics MA Ahmad, C Eckert, A Teredesai, G McKelvey, LA Dennis, M Slavkovik, ... | | 2018 |
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, 0 | | |