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Dynamic Predictions of Postoperative Complications from Explainable,
  Uncertainty-Aware, and Multi-Task Deep Neural Networks
v1v2 (latest)

Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks

Scientific Reports (Sci Rep), 2020
27 April 2020
B. Shickel
Tyler J. Loftus
M. Ruppert
Gilbert R. Upchurch
T. Ozrazgat-Baslanti
Parisa Rashidi
A. Bihorac
    UQCVAI4CE
ArXiv (abs)PDFHTML

Papers citing "Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks"

3 / 3 papers shown
M3H: Multimodal Multitask Machine Learning for Healthcare
M3H: Multimodal Multitask Machine Learning for Healthcare
Dimitris Bertsimas
Yu Ma
292
8
0
29 Apr 2024
Global Contrastive Training for Multimodal Electronic Health Records
  with Language Supervision
Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision
Yingbo Ma
Suraj Kolla
Zhenhong Hu
Dhruv Kaliraman
Victoria Nolan
...
Jeremy A. Balch
Tyler J. Loftus
Parisa Rashidi
A. Bihorac
B. Shickel
AI4TS
253
6
0
10 Apr 2024
Temporal Cross-Attention for Dynamic Embedding and Tokenization of
  Multimodal Electronic Health Records
Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records
Yingbo Ma
Suraj Kolla
Dhruv Kaliraman
Victoria Nolan
Zhenhong Hu
...
T. Ozrazgat-Baslanti
Tyler J. Loftus
Parisa Rashidi
A. Bihorac
B. Shickel
AI4TS
330
4
0
06 Mar 2024
1
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