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Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications.

B. Shickel, T. Loftus, S. Datta, T. Ozrazgat-Baslanti, A. Bihorac, and P. Rashidi. CoRR, (2020)

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Richard Loftus

Gudrun Tyler

Kerstin Tyler

Tyler Crain

Tyler Moore

Other publications of authors with the same name

DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning.B. Shickel, T. Loftus, T. Ozrazgat-Baslanti, A. Ebadi, A. Bihorac, and P. Rashidi. CoRR, (2018)Federated learning model for predicting major postoperative complications.Y. Park, Y. Ren, B. Shickel, Z. Guan, A. Patela, Y. Ma, Z. Hu, T. Loftus, P. Rashidi, T. Ozrazgat-Baslanti and 1 other author(s). CoRR, (2024)Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision.Y. Ma, S. Kolla, Z. Hu, D. Kaliraman, V. Nolan, Z. Guan, Y. Ren, B. Armfield, T. Ozrazgat-Baslanti, J. Balch and 4 other author(s). CoRR, (2024)Application of Deep Interpolation Network for Clustering of Physiologic Time Series.Y. Li, Y. Ren, T. Loftus, S. Datta, M. Ruppert, Z. Guan, D. Wu, P. Rashidi, T. Ozrazgat-Baslanti, and A. Bihorac. CoRR, (2020)Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records.Y. Ma, S. Kolla, D. Kaliraman, V. Nolan, Z. Hu, Z. Guan, Y. Ren, B. Armfield, T. Ozrazgat-Baslanti, T. Loftus and 3 other author(s). CoRR, (2024)Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications.B. Shickel, T. Loftus, S. Datta, T. Ozrazgat-Baslanti, A. Bihorac, and P. Rashidi. CoRR, (2020)Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery.T. Loftus, G. Jr., D. Delitto, P. Rashidi, and A. Bihorac. Frontiers Artif. Intell., (2019)Phenotype clustering in health care: A narrative review for clinicians.T. Loftus, B. Shickel, J. Balch, P. Tighe, K. Abbott, B. Fazzone, E. Anderson, J. Rozowsky, T. Ozrazgat-Baslanti, Y. Ren and 7 other author(s). Frontiers Artif. Intell., (2022)Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications.Y. Ren, C. Tripathi, Z. Guan, R. Zhu, V. Hougha, Y. Ma, Z. Hu, J. Balch, T. Loftus, P. Rashidi and 3 other author(s). CoRR, (2024)

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Disambiguation of "Loftus, Tyler J."

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Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications.

Please choose a person to relate this publication to

Richard Loftus

Gudrun Tyler

Kerstin Tyler

Tyler Crain

Tyler Moore

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Loftus, Tyler J."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications.

Please choose a person to relate this publication to

Richard Loftus

Gudrun Tyler

Kerstin Tyler

Tyler Crain

Tyler Moore

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications.