The “inconvenient truth” about AI in healthcare T Panch, H Mattie, LA Celi Npj Digital Medicine 2 (1), 1-3, 2019 | 272 | 2019 |
Artificial intelligence and algorithmic bias: implications for health systems T Panch, H Mattie, R Atun Journal of Global Health 9 (2), 2019 | 194 | 2019 |
Understanding tie strength in social networks using a local “bow tie” framework H Mattie, K Engø-Monsen, R Ling, JP Onnela Scientific reports 8 (1), 9349, 2018 | 40 | 2018 |
Dating app use and unhealthy weight control behaviors among a sample of US adults: a cross-sectional study A Tran, C Suharlim, H Mattie, K Davison, M Agénor, SB Austin Journal of Eating Disorders 7 (1), 16, 2019 | 39 | 2019 |
Performance of intensive care unit severity scoring systems across different ethnicities in the USA: a retrospective observational study R Sarkar, C Martin, H Mattie, JW Gichoya, DJ Stone, LA Celi The Lancet Digital Health 3 (4), e241-e249, 2021 | 35 | 2021 |
Best practices in the real-world data life cycle J Zhang, J Symons, P Agapow, JT Teo, CA Paxton, J Abdi, H Mattie, ... PLOS Digital Health 1 (1), e0000003, 2022 | 24 | 2022 |
An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research J Zhang, S Whebell, J Gallifant, S Budhdeo, H Mattie, ... The Lancet Digital Health 4 (4), e212-e213, 2022 | 22 | 2022 |
Turning the crank for machine learning: ease, at what expense? TJ Pollard, I Chen, J Wiens, S Horng, D Wong, M Ghassemi, H Mattie, ... The Lancet Digital Health 1 (5), e198-e199, 2019 | 18 | 2019 |
“Yes, but will it work for my patients?” Driving clinically relevant research with benchmark datasets T Panch, TJ Pollard, H Mattie, E Lindemer, PA Keane, LA Celi NPJ digital medicine 3 (1), 87, 2020 | 11 | 2020 |
A distributed approach to the regulation of clinical AI T Panch, E Duralde, H Mattie, G Kotecha, LA Celi, M Wright, F Greaves PLOS Digital Health 1 (5), e0000040, 2022 | 10 | 2022 |
The “inconvenient truth” about AI in healthcare. Npj Digital Medicine 2 (1), 77 T Panch, H Mattie, LA Celi Aug, 2019 | 10 | 2019 |
A framework for predicting impactability of digital care management using machine learning methods H Mattie, P Reidy, P Bachtiger, E Lindemer, N Nikolaev, M Jouni, ... Population health management 23 (4), 319-325, 2020 | 6 | 2020 |
The “inconvenient truth” about AI in healthcare. npj Digit. Med. 2, 77 (2019) T Panch, H Mattie, LA Celi | 6 | |
Generalizations of Edge Overlap to Weighted and Directed Networks H Mattie, JP Onnela arXiv preprint arXiv:1712.07110, 2017 | 4 | 2017 |
Machine Learning for Acute Kidney Injury Prediction in the Intensive Care Unit ER Gottlieb, M Samuel, JV Bonventre, LA Celi, H Mattie Advances in Chronic Kidney Disease 29 (5), 431-438, 2022 | 3 | 2022 |
Edge overlap in weighted and directed social networks H Mattie, JP Onnela Network Science 9 (2), 179-193, 2021 | 3 | 2021 |
Addressing the “elephant in the room” of AI clinical decision support through organisation-level regulation J Zhang, H Mattie, H Shuaib, T Hensman, JT Teo, LA Celi PLOS Digital Health 1 (9), e0000111, 2022 | 2 | 2022 |
Data science in public health: building next generation capacity N Mirin, H Mattie, L Jackson, Z Samad, R Chunara arXiv preprint arXiv:2208.03461, 2022 | 2 | 2022 |
A pragmatic methodology for the evaluation of digital care management in the context of multimorbidity E Lindemer, M Jouni, N Nikolaev, P Reidy, H Mattie, JK Rogers, ... Journal of Medical Economics 24 (1), 373-385, 2021 | 2 | 2021 |
The Social Bow Tie H Mattie, K Engø-Monsen, R Ling, JP Onnela arXiv preprint arXiv:1710.04177, 2017 | 2 | 2017 |