Bilal A. Mateen

15 papers A 1Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
A global log for medical AI.
CoRR
Ayush Noori, Adam Rodman, Alan Karthikesalingam, Bilal A. Mateen, Christopher A. Longhurst, Daniel Yang, Dave deBronkart, Gauden Galea, Harold F. Wolf III, Jacob Waxman, Joshua C. Mandel, Juliana Rotich, Kenneth D. Mandl, Maryam Mustafa, Melissa Miles, Nigam H. Shah, Peter Lee, Robert Korom, Scott Mahoney, Seth Hain, Tien Yin Wong, Trevor Mundel, Vivek Natarajan, Noa Dagan, David A. Clifton, Ran D. Balicer, Isaac S. Kohane, Marinka Zitnik
2025 J jnl
Do we need prequalification of AI as a medical device to drive equitable adoption.
npj Digit. Medicine
Bilal A. Mateen, Bernard Aryeetey, Delese Mimi Darko
2024 J jnl
Development and assessment of a machine learning tool for predicting emergency admission in Scotland.
npj Digit. Medicine
James Liley, Gergo Bohner, Samuel R. Emerson, Bilal A. Mateen, Katie Borland, David Carr, Scott Heald, Samuel D. Oduro, Jill Ireland, Keith Moffat, Rachel Porteous, Stephen Riddell, Simon Rogers, Ioanna Thoma, Nathan Cunningham, Chris Holmes, Katrina Payne, Sebastian J. Vollmer, Catalina A. Vallejos, Louis J. M. Aslett
2024 J jnl
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland.
npj Digit. Medicine
James Liley, Gergo Bohner, Samuel R. Emerson, Bilal A. Mateen, Katie Borland, David Carr, Scott Heald, Samuel D. Oduro, Jill Ireland, Keith Moffat, Rachel Porteous, Stephen Riddell, Simon Rogers, Ioanna Thoma, Nathan Cunningham, Chris Holmes, Katrina Payne, Sebastian J. Vollmer, Catalina A. Vallejos, Louis J. M. Aslett
2023 J jnl
Comparison of causal forest and regression-based approaches to evaluate treatment effect heterogeneity: an application for type 2 diabetes precision medicine.
BMC Medical Informatics Decis. Mak.
Ashwini Venkatasubramaniam, Bilal A. Mateen, Beverley M. Shields, Andrew T. Hattersley, Angus G. Jones, Sebastian J. Vollmer, John M. Dennis
2022 J jnl
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data.
CoRR
Oscar Giles, Kasra Hosseini, Grigorios Mingas, Oliver Strickson, Louise Bowler, Camila Rangel Smith, Harrison Wilde, Jen Ning Lim, Bilal A. Mateen, Kasun Amarasinghe, Rayid Ghani, Alison J. Heppenstall, Nik Lomax, Nick Malleson, Martin T. O'Reilly, Sebastian J. Vollmer
2021 A conf
Model updating after interventions paradoxically introduces bias.
AISTATS
James Liley, Samuel R. Emerson, Bilal A. Mateen, Catalina A. Vallejos, Louis J. M. Aslett, Sebastian J. Vollmer
2021 J jnl
We need to talk about the lack of investment in digital research infrastructure.
Nat. Comput. Sci.
Rebecca Knowles, Bilal A. Mateen, Yo Yehudi
2020 J jnl
Debiasing classifiers: is reality at variance with expectation?
CoRR
Ashrya Agrawal, Florian Pfisterer, Bernd Bischl, Jiahao Chen, Srijan Sood, Sameena Shah, Francois Buet-Golfouse, Bilal A. Mateen, Sebastian J. Vollmer
2020 J jnl
Improving the quality of machine learning in health applications and clinical research.
Nat. Mach. Intell.
Bilal A. Mateen, James Liley, Alastair K. Denniston, Chris C. Holmes, Sebastian J. Vollmer
2020 J jnl
Model updating after interventions paradoxically introduces bias.
CoRR
James Liley, Samuel R. Emerson, Bilal A. Mateen, Catalina A. Vallejos, Louis J. M. Aslett, Sebastian J. Vollmer
2018 J jnl
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness.
CoRR
Sebastian J. Vollmer, Bilal A. Mateen, Gergo Bohner, Franz J. Király, Rayid Ghani, Pall Jonsson, Sarah Cumbers, Adrian Jonas, Katherine S. L. McAllister, Puja Myles, David Granger, Mark Birse, Richard Branson, Karel G. M. Moons, Gary S. Collins, John P. A. Ioannidis, Chris C. Holmes, Harry Hemingway
2018 J jnl
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature.
CoRR
Franz J. Király, Bilal A. Mateen, Raphael Sonabend
2018 J jnl
Probabilistic supervised learning.
CoRR
Frithjof Gressmann, Franz J. Király, Bilal A. Mateen, Harald Oberhauser
2016 J jnl
Machine Learning in Falls Prediction; A cognition-based predictor of falls for the acute neurological in-patient population.
CoRR
Bilal A. Mateen, Matthias Bussas, Catherine Doogan, Denise Waller, Alessia Saverino, Franz J. Király, E. Diane Playford