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M3H: Multimodal Multitask Machine Learning for Healthcare
v1v2v3 (latest)

M3H: Multimodal Multitask Machine Learning for Healthcare

29 April 2024
Dimitris Bertsimas
Yu Ma
ArXiv (abs)PDFHTML

Papers citing "M3H: Multimodal Multitask Machine Learning for Healthcare"

5 / 5 papers shown
Title
Dynamic Predictions of Postoperative Complications from Explainable,
  Uncertainty-Aware, and Multi-Task Deep Neural Networks
Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks
B. Shickel
Tyler J. Loftus
M. Ruppert
Gilbert R. Upchurch
T. Ozrazgat-Baslanti
Parisa Rashidi
A. Bihorac
UQCVAI4CE
31
17
0
27 Apr 2020
Publicly Available Clinical BERT Embeddings
Publicly Available Clinical BERT Embeddings
Emily Alsentzer
John R. Murphy
Willie Boag
W. Weng
Di Jin
Tristan Naumann
Matthew B. A. McDermott
AI4MH
208
1,991
0
06 Apr 2019
Multimodal Machine Learning: A Survey and Taxonomy
Multimodal Machine Learning: A Survey and Taxonomy
T. Baltrušaitis
Chaitanya Ahuja
Louis-Philippe Morency
128
2,945
0
26 May 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
393
27,275
0
20 Mar 2017
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
545
62,477
0
04 Jun 2015
1