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Caruana, Rich
125  Ergebnisse:
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1

Interpretable machine learning predicts postpartum hemorrha..:

Lengerich, Benjamin J. ; Caruana, Rich ; Painter, Ian...
American Journal of Obstetrics & Gynecology MFM.  , 2024
Link: https://doi.org/10.1016/..
 
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2

753 INTERPRETABLE MACHINE LEARNING PREDICTIVE MODEL TO UNDE..:

Kalgotra, Pankush ; Sharda, Ramesh ; Caruana, Rich.
Gastroenterology.  166 (2024)  5 - p. S-178 , 2024
Link: https://doi.org/10.1016/..
 
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3

UNDERSTANDING AGE AS A RISK FACTOR FOR COMPLICATIONS AFTER ..:

Mehta, Bella ; Yiyuan, Yi ; Heiting, Chloe...
Osteoarthritis and Cartilage.  32 (2024)  - p. S79-S80 , 2024
Link: https://doi.org/10.1016/..
 
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4

GAM Coach: Towards Interactive and User-centered Algorithmi..:

, In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems,
Wang, Zijie J. ; Wortman Vaughan, Jennifer ; Caruana, Rich. - p. 1-20 , 2023
Link: https://dl.acm.org/doi/1..
 
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5

Interpretable Predictive Models to Understand Risk Factors ..:

Bosschieter, Tomas M. ; Xu, Zifei ; Lan, Hui...
Journal of Healthcare Informatics Research.  , 2023
Link: https://doi.org/10.1007/..
 
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6

Augmenting interpretable models with large language models ..:

Singh, Chandan ; Askari, Armin ; Caruana, Rich.
Nature Communications.  14 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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7

Considerations when learning additive explanations for blac..:

Tan, Sarah ; Hooker, Giles ; Koch, Paul..
Machine Learning.  112 (2023)  9 - p. 3333-3359 , 2023
Link: https://doi.org/10.1007/..
 
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8

Unique insights into risk factors for antepartum stillbirth..:

Bosschieter, Tomas M. ; Lan, Hui ; Xu, Zifei...
American Journal of Obstetrics and Gynecology.  228 (2023)  1 - p. S403-S404 , 2023
Link: https://doi.org/10.1016/..
 
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9

Understanding risk factors for shoulder dystocia using inte..:

Lan, Hui ; Bosschieter, Tomas M. ; Xu, Zifei...
American Journal of Obstetrics and Gynecology.  228 (2023)  1 - p. S753 , 2023
Link: https://doi.org/10.1016/..
 
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10

Predicting severe maternal morbidity at admission for deliv..:

Xu, Zifei ; Bosschieter, Tomas M. ; Lan, Hui...
American Journal of Obstetrics and Gynecology.  228 (2023)  1 - p. S404-S405 , 2023
Link: https://doi.org/10.1016/..
 
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11

Preterm preeclampsia prediction using intelligible machine ..:

Bosschieter, Tomas M. ; Xu, Zifei ; Lan, Hui...
American Journal of Obstetrics and Gynecology.  228 (2023)  1 - p. S409 , 2023
Link: https://doi.org/10.1016/..
 
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12

Interpretability, Then What? Editing Machine Learning Model..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Wang, Zijie J. ; Kale, Alex ; Nori, Harsha... - p. 4132-4142 , 2022
Link: https://dl.acm.org/doi/1..
 
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13

Automated interpretable discovery of heterogeneous treatmen..:

Lengerich, Benjamin J. ; Nunnally, Mark E. ; Aphinyanaphongs, Yin..
Journal of Biomedical Informatics.  130 (2022)  - p. 104086 , 2022
Link: https://doi.org/10.1016/..
 
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14

Why Data Scientists Prefer Glassbox Machine Learning : A..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Caruana, Rich ; Nori, Harsha - p. 4776-4777 , 2022
Link: https://dl.acm.org/doi/1..
 
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15

Sub‐Seasonal Forecasting With a Large Ensemble of Deep‐Lear..:

Weyn, Jonathan A. ; Durran, Dale R. ; Caruana, Rich.
Journal of Advances in Modeling Earth Systems.  13 (2021)  7 - p. , 2021
Link: https://doi.org/10.1029/..
 
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