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The ongoing pandemic has highlighted the importance of reliable and efficient clinical trials in healthcare.
The analysis of permutations
R. L. Plackett · 1975
Earlier work this paper cites.
Learning to rank using gradient descent
Chris Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, and Greg Hullender · 2005
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Training linear svms in linear time
Thorsten Joachims · 2006
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Learning to rank: From pairwise approach to listwise approach
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, and Hang Li · 2007
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Adarank: A boosting algorithm for information retrieval
Jun Xu and Hang Li · 2007
Earlier work this paper cites.
Softrank: Optimizing non-smooth rank metrics
Michael Taylor, John Guiver, Stephen Robertson, and Tom Minka · 2008
Earlier work this paper cites.
Stochastic gradient boosted distributed decision trees
Jerry Ye, Jyh-Herng Chow, Jiang Chen, and Zhaohui Zheng · 2009
Earlier work this paper cites.
Medical research: Missing patients
Esteban G Burchard · 2014
Earlier work this paper cites.
Improving site selection in clinical studies: a standardised, objective, multistep method and first experience results
Anahí Hurtado-Chong, Alexander Joeris, Denise Hess, and Michael Blauth · 2017
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Fa* ir: A fair top-k ranking algorithm
Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, and Ricardo Baeza-Yates · 2017
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Predicting enrollment performance of investigational centers in phase iii multi-center clinical trials
Rutger M. van den Bor, Diederick E. Grobbee, Bas J. Oosterman, Petrus W.J. Vaessen, and Kit C.B. Roes · 2017
Cited alongside, same era.
When will clinical trials finally reflect diversity?, 2018
Todd C Knepper and Howard L McLeod · 2018
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Psychosocial and demographic factors influencing pain scores of patients with knee osteoarthritis
Lauren Eberly, Dustin Richter, George Comerci, Justin Ocksrider, Deana Mercer, Gary Mlady, Daniel Wascher, and Robert Schenck · 2018
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Fairness in recommendation ranking through pairwise comparisons
Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H Chi, et al · 2019
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Optimizing clinical trials recruitment via deep learning
Jelena Gligorijevic, Djordje Gligorijevic, Martin Pavlovski, Elizabeth Milkovits, Lucas Glass, Kevin Grier, Praveen Vankireddy, and Zoran Obradovic · 2019
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Increasing diversity in clinical trials: Overcoming critical barriers
Luther T. Clark, Laurence Watkins, Ileana L. Piña, Mary Elmer, Ola Akinboboye, Millicent Gorham, Brenda Jamerson, Cassandra McCullough, Christine Pierre, Adam B. Polis, Gary Puckrein, and Jeanne M. Regnante · 2019
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Publicly available clinical BERT embeddings
Emily Alsentzer, John Murphy, William Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, and Matthew McDermott · 2019
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Fairness in machine learning: A survey, 2020
Simon Caton and Christian Haas · 2020
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Designing fair ranking schemes
Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich, and Gautam Das · 2019
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Policy learning for fairness in ranking
Ashudeep Singh and Thorsten Joachims · 2019
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Fairness and Machine Learning
Solon Barocas, Moritz Hardt, and Arvind Narayanan · 2019
Cited alongside, same era.
Enhancing the diversity of clinical trial populations — eligibility criteria, enrollment practices, and trial designs guidance for industry, https://www.fda.gov/news-events/press-announcements/fda-offers-guidance-enhance-diversity-clinical-trials-encourage-inclusivity-medical-product
Cited in the paper.
Machine learning for clinical trials in the era of covid-19
William R. Zame, Ioana Bica, Cong Shen, Alicia Curth, Hyun-Suk Lee, Stuart Bailey, James Weatherall, David Wright, Frank Bretz, and Mihaela van der Schaar · 2020
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Doctor2vec: Dynamic doctor representation learning for clinical trial recruitment
Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, and Jimeng Sun · 2020
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An algorithmic approach to reducing unexplained pain disparities in underserved populations
Emma Pierson, David M. Cutler, Jure Leskovec, Sendhil Mullainathan, and Ziad Obermeyer · 2021
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