M3T-LM: A multi-modal multi-task learning model for jointly predicting patient length of stay and mortality

被引:0
|
作者
Chen, Junde [1 ]
Li, Qing [2 ]
Liu, Feng [3 ]
Wen, Yuxin [1 ]
机构
[1] Dale E. and Sarah Ann Fowler School of Engineering, Chapman University, Orange,CA,92866, United States
[2] Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames,IA,50011, United States
[3] School of Systems and Enterprises, Stevens Institute of Technology, Hoboken,NJ,07030, United States
关键词
D O I
10.1016/j.compbiomed.2024.109237
中图分类号
学科分类号
摘要
54
引用
收藏
相关论文
共 50 条
  • [21] Hierarchical Multi-Task Learning for Diagram Question Answering with Multi-Modal Transformer
    Yuan, Zhaoquan
    Peng, Xiao
    Wu, Xiao
    Xu, Changsheng
    PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021, 2021, : 1313 - 1321
  • [22] A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics
    Du, Lei
    Liu, Fang
    Liu, Kefei
    Yao, Xiaohui
    Risacher, Shannon L.
    Han, Junwei
    Guo, Lei
    Saykin, Andrew J.
    Shen, Li
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT IV, 2019, 11767 : 447 - 455
  • [23] PREDICTING PROGRESSIONS OF COGNITIVE OUTCOMES VIA HIGH-ORDER MULTI-MODAL MULTI-TASK FEATURE LEARNING
    Lu, Lyujian
    Wang, Hua
    Yao, Xiaohui
    Risacher, Shannon
    Saykin, Andrew
    Shen, Li
    Weiner, Michael W.
    Aisen, Paul
    Petersen, Ronald
    Jack, Clifford R., Jr.
    Jagust, William
    Trojanowki, John Q.
    Toga, Arthur W.
    Beckett, Laurel
    Green, Robert C.
    Saykin, Andrew J.
    Morris, John
    Shaw, Leslie M.
    Khachaturian, Zaven
    Sorensen, Greg
    Carrillo, Maria
    Kuller, Lew
    Raichle, Marc
    Paul, Steven
    Davies, Peter
    Fillit, Howard
    Hefti, Franz
    Holtzman, David
    Mesulam, M. Marcel
    Potter, William
    Snyder, Peter
    Logovinsky, Veronika
    Lilly, Eli
    Green, Robert C.
    Montine, Tom
    Petersen, Ronald
    Aisen, Paul
    Jimenez, Gustavo
    Donohue, Michael
    Gessert, Devon
    Harless, Kelly
    Salazar, Jennifer
    Cabrera, Yuliana
    Walter, Sarah
    Hergesheimer, Lindsey
    Beckett, Laurel
    Harvey, Danielle
    Donohue, Michael
    Jack, Clifford R., Jr.
    Bernstein, Matthew
    2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018), 2018, : 545 - 548
  • [24] Multi-task & Multi-modal Sentiment Analysis Model Based on Aware Fusion
    Wu S.
    Ma J.
    Data Analysis and Knowledge Discovery, 2023, 7 (10) : 74 - 84
  • [25] YuYin: a multi-task learning model of multi-modal e-commerce background music recommendation
    Ma, Le
    Wu, Xinda
    Tang, Ruiyuan
    Zhong, Chongjun
    Zhang, Kejun
    EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING, 2023, 2023 (01)
  • [26] YuYin: a multi-task learning model of multi-modal e-commerce background music recommendation
    Le Ma
    Xinda Wu
    Ruiyuan Tang
    Chongjun Zhong
    Kejun Zhang
    EURASIP Journal on Audio, Speech, and Music Processing, 2023
  • [27] M5: Multi-modal Multi-task Model Mapping on Multi-FPGA with Accelerator Configuration Search
    Kamath, Akshay Karkal
    Abi-Karam, Stefan
    Bhat, Ashwin
    Hao, Cong
    2023 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION, DATE, 2023,
  • [28] Adversarial Multi-Task Learning for Mandarin Prosodic Boundary Prediction With Multi-Modal Embeddings
    Yi, Jiangyan
    Tao, Jianhua
    Fu, Ruibo
    Wang, Tao
    Zhang, Chu Yuan
    Wang, Chenglong
    IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2023, 31 : 2963 - 2973
  • [29] Fake News Detection in Social Media based on Multi-Modal Multi-Task Learning
    Cui, Xinyu
    Li, Yang
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (07) : 912 - 918
  • [30] Multi-Task Federated Split Learning Across Multi-Modal Data with Privacy Preservation
    Dong, Yipeng
    Luo, Wei
    Wang, Xiangyang
    Zhang, Lei
    Xu, Lin
    Zhou, Zehao
    Wang, Lulu
    SENSORS, 2025, 25 (01)